subject:(Depth reconstruction)

Delft University of Technology

1. Heil, Tobias (author). Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles.

Degree: 2017, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678

►

The reconstruction of dense depth maps is of great value to resource-constrained Mirco Air Vehicles (MAVs), in the pursuit of achieving autonomous flight with a… (more)

Subjects/Keywords: Depth reconstruction; UAV; Computer vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Heil, T. (. (2017). Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678

Chicago Manual of Style (16^th Edition):

Heil, Tobias (author). “Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles.” 2017. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678.

MLA Handbook (7^th Edition):

Heil, Tobias (author). “Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles.” 2017. Web. 26 Feb 2021.

Vancouver:

Heil T(. Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678.

Council of Science Editors:

Heil T(. Enhanced Sparse Depth Reconstruction Using Edge and Temporal Information: An Application to Micro Air Vehicles. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:de84d7b7-52f7-4c0f-a00f-d7a6c244a678

2. Ma, Bojie. Computational Depth from Defocus via Active Quasi-random Pattern Projections.

Degree: 2018, University of Waterloo

URL: http://hdl.handle.net/10012/13645

► Depth information is one of the most fundamental cues in interpreting the geometric relationship of objects. It enables machines and robots to perceive the world… (more)

▼ Depth information is one of the most fundamental cues in interpreting the geometric relationship of objects. It enables machines and robots to perceive the world in 3D and allows them to understand the environment far beyond 2D images. Recovering the depth information of the scene plays a crucial role in computer vision, and hence has a strong connection with many applications in the fields such as robotics, autonomous driving and computer-human interfacing. In this thesis, we proposed, designed, and built a comprehensive system for depth estimation from a single camera capture by leveraging the camera response to the defocus effect of the projected pattern. This approach is fundamentally driven by the concept of active depth from defocus (DfD) which recovers depth by analyzing the defocus effect of the projected pattern at different depth levels as appeared in the captured images. While current active DfD approaches are able to provide high accuracy, they rely on specialized setups to obtain images with different defocus levels, making it impractical for a simple and compact depth-sensing system with a small form factor. The main contribution of this thesis is the use of computational modelling techniques to characterize the camera defocus response of the projection pattern at different depth levels, a new approach in active DfD that enables rapid and accurate depth inference in the absence of complex hardware and extensive computing resources. Specifically, different statistical estimation methods are proposed to approximate the pixel intensity distribution of the projected pattern as measured by the camera sensor, a learning process that essentially summarizes the defocus effect to a handful of optimized, distinctive values. As a result, the blurring appearance of the projected pattern at each depth level is represented by depth features in a computational depth inference model. In the proposed framework, the scene is actively illuminated with a unique quasi-random projection pattern, and a conventional RGB camera is used to acquire an image of the scene. The depth map of the scene can then be recovered by studying the depth feature in the captured image of the blurred projection pattern using the proposed computational depth inference model. To verify the efficacy of the proposed depth estimation approach, quantitative and qualitative experiments are performed on test scenes with different structural characteristics. The results demonstrate that the proposed method can produce accurate depth reconstruction results with high fidelity and has strong potential as a cost effective and computationally efficient mean of generating depth maps.

Subjects/Keywords: Depth from defocus; Active depth-sensing; 3D reconstruction; Computational image processing; Deep learning

10 more images…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ma, B. (2018). Computational Depth from Defocus via Active Quasi-random Pattern Projections. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13645

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Ma, Bojie. “Computational Depth from Defocus via Active Quasi-random Pattern Projections.” 2018. Thesis, University of Waterloo. Accessed February 26, 2021. http://hdl.handle.net/10012/13645.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Ma, Bojie. “Computational Depth from Defocus via Active Quasi-random Pattern Projections.” 2018. Web. 26 Feb 2021.

Vancouver:

Ma B. Computational Depth from Defocus via Active Quasi-random Pattern Projections. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10012/13645.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ma B. Computational Depth from Defocus via Active Quasi-random Pattern Projections. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13645

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Kentucky

3. Liao, Miao. Single View Modeling and View Synthesis.

Degree: 2011, University of Kentucky

URL: https://uknowledge.uky.edu/gradschool_diss/828

► This thesis develops new algorithms to produce 3D content from a single camera. Today, amateurs can use hand-held camcorders to capture and display the 3D… (more)

▼ This thesis develops new algorithms to produce 3D content from a single camera. Today, amateurs can use hand-held camcorders to capture and display the 3D world in 2D, using mature technologies. However, there is always a strong desire to record and re-explore the 3D world in 3D. To achieve this goal, current approaches usually make use of a camera array, which suffers from tedious setup and calibration processes, as well as lack of portability, limiting its application to lab experiments. In this thesis, I try to produce the 3D contents using a single camera, making it as simple as shooting pictures. It requires a new front end capturing device rather than a regular camcorder, as well as more sophisticated algorithms. First, in order to capture the highly detailed object surfaces, I designed and developed a depth camera based on a novel technique called light fall-off stereo (LFS). The LFS depth camera outputs color+depth image sequences and achieves 30 fps, which is necessary for capturing dynamic scenes. Based on the output color+depth images, I developed a new approach that builds 3D models of dynamic and deformable objects. While the camera can only capture part of a whole object at any instance, partial surfaces are assembled together to form a complete 3D model by a novel warping algorithm. Inspired by the success of single view 3D modeling, I extended my exploration into 2D-3D video conversion that does not utilize a depth camera. I developed a semi-automatic system that converts monocular videos into stereoscopic videos, via view synthesis. It combines motion analysis with user interaction, aiming to transfer as much depth inferring work from the user to the computer. I developed two new methods that analyze the optical flow in order to provide additional qualitative depth constraints. The automatically extracted depth information is presented in the user interface to assist with user labeling work. In this thesis, I developed new algorithms to produce 3D contents from a single camera. Depending on the input data, my algorithm can build high fidelity 3D models for dynamic and deformable objects if depth maps are provided. Otherwise, it can turn the video clips into stereoscopic video.

Subjects/Keywords: 3D Reconstruction; Single View; Depth Camera; Depth Recovery; 2D-3D Video Conversion; Computer Engineering

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APA (6^th Edition):

Liao, M. (2011). Single View Modeling and View Synthesis. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/gradschool_diss/828

Chicago Manual of Style (16^th Edition):

Liao, Miao. “Single View Modeling and View Synthesis.” 2011. Doctoral Dissertation, University of Kentucky. Accessed February 26, 2021. https://uknowledge.uky.edu/gradschool_diss/828.

MLA Handbook (7^th Edition):

Liao, Miao. “Single View Modeling and View Synthesis.” 2011. Web. 26 Feb 2021.

Vancouver:

Liao M. Single View Modeling and View Synthesis. [Internet] [Doctoral dissertation]. University of Kentucky; 2011. [cited 2021 Feb 26]. Available from: https://uknowledge.uky.edu/gradschool_diss/828.

Council of Science Editors:

Liao M. Single View Modeling and View Synthesis. [Doctoral Dissertation]. University of Kentucky; 2011. Available from: https://uknowledge.uky.edu/gradschool_diss/828

NSYSU

4. Cheng, Yuan-Chen. Efficient 3D Reconstruction System for Large-scale Scene.

Degree: Master, Electrical Engineering, 2017, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0319117-181337

► In this thesis, an efficient 3D reconstruction system is proposed to solve the problem of the huge computation of 3D reconstruction for large-scale scene. The… (more)

Subjects/Keywords: color mapping; keyframe selection; camera pose estimation; 3D reconstruction; depth cameras

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APA (6^th Edition):

Cheng, Y. (2017). Efficient 3D Reconstruction System for Large-scale Scene. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0319117-181337

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Cheng, Yuan-Chen. “Efficient 3D Reconstruction System for Large-scale Scene.” 2017. Thesis, NSYSU. Accessed February 26, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0319117-181337.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Cheng, Yuan-Chen. “Efficient 3D Reconstruction System for Large-scale Scene.” 2017. Web. 26 Feb 2021.

Vancouver:

Cheng Y. Efficient 3D Reconstruction System for Large-scale Scene. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Feb 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0319117-181337.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Cheng Y. Efficient 3D Reconstruction System for Large-scale Scene. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0319117-181337

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

5. SIDDIG, ABUBAKR HASSAN BASHIR. Depth Reconstruction Uncertainty Improvement for Skewed Parallel Stereo Pair Cameras Using Dithering Approach.

Degree: 2012, , School of Engineering

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3044

► Each point in the space is defined by its three dimensions position (x,y,z). However, capturing this point with a camera only translates it to… (more)

Subjects/Keywords: Depth Reconstruction; Dithering; Skewed Parallel; Stereo Setup; Iso-disparity

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APA (6^th Edition):

SIDDIG, A. H. B. (2012). Depth Reconstruction Uncertainty Improvement for Skewed Parallel Stereo Pair Cameras Using Dithering Approach. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3044

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SIDDIG, ABUBAKR HASSAN BASHIR. “Depth Reconstruction Uncertainty Improvement for Skewed Parallel Stereo Pair Cameras Using Dithering Approach.” 2012. Thesis, , School of Engineering. Accessed February 26, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3044.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SIDDIG, ABUBAKR HASSAN BASHIR. “Depth Reconstruction Uncertainty Improvement for Skewed Parallel Stereo Pair Cameras Using Dithering Approach.” 2012. Web. 26 Feb 2021.

Vancouver:

SIDDIG AHB. Depth Reconstruction Uncertainty Improvement for Skewed Parallel Stereo Pair Cameras Using Dithering Approach. [Internet] [Thesis]. , School of Engineering; 2012. [cited 2021 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3044.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SIDDIG AHB. Depth Reconstruction Uncertainty Improvement for Skewed Parallel Stereo Pair Cameras Using Dithering Approach. [Thesis]. , School of Engineering; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3044

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Kentucky

6. Zuo, Xinxin. Depth Enhancement and Surface Reconstruction with RGB/D Sequence.

Degree: 2019, University of Kentucky

URL: https://uknowledge.uky.edu/cs_etds/91

► Surface reconstruction and 3D modeling is a challenging task, which has been explored for decades by the computer vision, computer graphics, and machine learning communities.… (more)

Subjects/Keywords: computer vision; surface reconstruction; depth enhancement; Computer Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zuo, X. (2019). Depth Enhancement and Surface Reconstruction with RGB/D Sequence. (Doctoral Dissertation). University of Kentucky. Retrieved from https://uknowledge.uky.edu/cs_etds/91

Chicago Manual of Style (16^th Edition):

Zuo, Xinxin. “Depth Enhancement and Surface Reconstruction with RGB/D Sequence.” 2019. Doctoral Dissertation, University of Kentucky. Accessed February 26, 2021. https://uknowledge.uky.edu/cs_etds/91.

MLA Handbook (7^th Edition):

Zuo, Xinxin. “Depth Enhancement and Surface Reconstruction with RGB/D Sequence.” 2019. Web. 26 Feb 2021.

Vancouver:

Zuo X. Depth Enhancement and Surface Reconstruction with RGB/D Sequence. [Internet] [Doctoral dissertation]. University of Kentucky; 2019. [cited 2021 Feb 26]. Available from: https://uknowledge.uky.edu/cs_etds/91.

Council of Science Editors:

Zuo X. Depth Enhancement and Surface Reconstruction with RGB/D Sequence. [Doctoral Dissertation]. University of Kentucky; 2019. Available from: https://uknowledge.uky.edu/cs_etds/91

University of California – San Diego

7. Liu, Lee-Kang. From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies.

Degree: Electrical Engineering (Signal and Image Proc), 2015, University of California – San Diego

URL: http://www.escholarship.org/uc/item/98f001p4

► Depth data acquisition has drawn considerable interest in recent years as a result of the rapid development of 3D technology. A large number of acquisition… (more)

Subjects/Keywords: Engineering; Alternating Direction Method of Multipliers; Dense Depth Estimation; Depth Enhancement; Image and Video Processing; Sparse Reconstruction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Liu, L. (2015). From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/98f001p4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Lee-Kang. “From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies.” 2015. Thesis, University of California – San Diego. Accessed February 26, 2021. http://www.escholarship.org/uc/item/98f001p4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Lee-Kang. “From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies.” 2015. Web. 26 Feb 2021.

Vancouver:

Liu L. From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies. [Internet] [Thesis]. University of California – San Diego; 2015. [cited 2021 Feb 26]. Available from: http://www.escholarship.org/uc/item/98f001p4.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu L. From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies. [Thesis]. University of California – San Diego; 2015. Available from: http://www.escholarship.org/uc/item/98f001p4

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Delft University of Technology

8. Garg, Chirag (author). Indoor 3D Reconstruction from a Single Image.

Degree: 2020, Delft University of Technology

URL: http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0

►

3D indoor reconstruction has been an important research area in the field of computer vision and photogrammetry. While the initial techniques developed for this purpose… (more)

Subjects/Keywords: 3D Reconstruction; Deep Learning; indoor reconstruction; Piecewise Planar Reconstruction; Point Cloud; 3D Model; Convolutional Neural Networks; Depth reconstruction; Supervised Learning; Indoor environment; Single Image

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Garg, C. (. (2020). Indoor 3D Reconstruction from a Single Image. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0

Chicago Manual of Style (16^th Edition):

Garg, Chirag (author). “Indoor 3D Reconstruction from a Single Image.” 2020. Masters Thesis, Delft University of Technology. Accessed February 26, 2021. http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0.

MLA Handbook (7^th Edition):

Garg, Chirag (author). “Indoor 3D Reconstruction from a Single Image.” 2020. Web. 26 Feb 2021.

Vancouver:

Garg C(. Indoor 3D Reconstruction from a Single Image. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Feb 26]. Available from: http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0.

Council of Science Editors:

Garg C(. Indoor 3D Reconstruction from a Single Image. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:70f42eb0-241a-46a2-8bf8-87d89bea26b0

University of Manitoba

9. Teimoorisichani, Mohammadreza. Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging.

Degree: Physics and Astronomy, 2019, University of Manitoba

URL: http://hdl.handle.net/1993/34107

► A positron emission tomography (PET) insert with a compact ring diameter is currently under design by our group. The PET insert is a brain-dedicated scanner… (more)

▼ A positron emission tomography (PET) insert with a compact ring diameter is currently under design by our group. The PET insert is a brain-dedicated scanner which is designed to retrofit into the Siemens Magnetom 7T brain Magnetic Resonance (MR) scanner. A dual-layer offset (DLO) design is considered for the detectors of the PET insert to provide depth-of-interaction information and reduce resolution degradation due to parallax error. A wide range of detector geometries was evaluated through Monte Carlo simulations to characterize the performance of each detector and study the optimum detector geometry for the PET insert. More than 200 DLO detectors with a scintillation material of LYSO and detector thicknesses between 10 to 30 mm, different layer thickness ratios and crystal sizes of 0.5 to 4 mm were evaluated in this study. The effects of each detector geometry on radial mispositioning of the incident photons, coincidence response functions, scanner sensitivity and scanner resolution were studied. The effects of layer-misassignment in DLO detectors due to inter-crystal scatter were also studied. The count rate performance of several scanners with different detector sizes and thicknesses were evaluated to provide a comprehensive model for the count rate performance of each scanner with a wide range of deadtime properties. A scalable dual-GPU list-mode image reconstruction algorithm has also been developed, which was used in the evaluation of different brain PET scanners. Based on the results of this work, a single-ended readout DLO detector with an area of between 1.5 to 9.6 cm2, a total/front/back layer thickness of 15/6/9 or 20/8/12 mm, and a crystal size of 2 to 3 mm is recommended. Advisors/Committee Members: Goertzen, Andrew (Physics and Astronomy) (supervisor), Pistorius, Stephen (Physics and Astronomy, University of Manitoba) (examiningcommittee), Ko, Ji Hyuan (Human Anatomy and Cell Science, University of Manitoba) (examiningcommittee), Fiege, Jason (Physics and Astronomy, University of Manitoba) (examiningcommittee), Badawi, Ramsey (Biomedical Engineering, University of California, Davis) (examiningcommittee).

Subjects/Keywords: PET; Positron emission tomography; Statistical image reconstruction; Scintillation detector; Depth-of-interaction; Dual-layer offset

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APA (6^th Edition):

Teimoorisichani, M. (2019). Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/34107

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Teimoorisichani, Mohammadreza. “Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging.” 2019. Thesis, University of Manitoba. Accessed February 26, 2021. http://hdl.handle.net/1993/34107.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Teimoorisichani, Mohammadreza. “Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging.” 2019. Web. 26 Feb 2021.

Vancouver:

Teimoorisichani M. Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging. [Internet] [Thesis]. University of Manitoba; 2019. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1993/34107.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Teimoorisichani M. Geometry optimization and evaluation of PET inserts for simultaneous PET/MR neuroimaging. [Thesis]. University of Manitoba; 2019. Available from: http://hdl.handle.net/1993/34107

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

National University of Ireland – Galway

10. Javidnia, Hossein. Contributions to the measurement of depth in consumer imaging .

Degree: 2018, National University of Ireland – Galway

URL: http://hdl.handle.net/10379/7398

► This thesis aims to examine and investigate methods that could potentially utilize images captured by consumer cameras such as smartphones to estimate depth and generate… (more)

Subjects/Keywords: Depth estimation; Consumer imaging; 3D reconstruction; Electrical and Electronic Engineering; Engineering and Informatics

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Javidnia, H. (2018). Contributions to the measurement of depth in consumer imaging . (Thesis). National University of Ireland – Galway. Retrieved from http://hdl.handle.net/10379/7398

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Javidnia, Hossein. “Contributions to the measurement of depth in consumer imaging .” 2018. Thesis, National University of Ireland – Galway. Accessed February 26, 2021. http://hdl.handle.net/10379/7398.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Javidnia, Hossein. “Contributions to the measurement of depth in consumer imaging .” 2018. Web. 26 Feb 2021.

Vancouver:

Javidnia H. Contributions to the measurement of depth in consumer imaging . [Internet] [Thesis]. National University of Ireland – Galway; 2018. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10379/7398.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Javidnia H. Contributions to the measurement of depth in consumer imaging . [Thesis]. National University of Ireland – Galway; 2018. Available from: http://hdl.handle.net/10379/7398

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Arizona

11. Salahieh, Basel. Computational Imaging For Miniature Cameras .

Degree: 2015, University of Arizona

URL: http://hdl.handle.net/10150/581305

► Miniature cameras play a key role in numerous imaging applications ranging from endoscopy and metrology inspection devices to smartphones and head-mount acquisition systems. However, due… (more)

▼ Miniature cameras play a key role in numerous imaging applications ranging from endoscopy and metrology inspection devices to smartphones and head-mount acquisition systems. However, due to the physical constraints, the imaging conditions, and the low quality of small optics, their imaging capabilities are limited in terms of the delivered resolution, the acquired depth of field, and the captured dynamic range. Computational imaging jointly addresses the imaging system and the reconstructing algorithms to bypass the traditional limits of optical systems and deliver better restorations for various applications. The scene is encoded into a set of efficient measurements which could then be computationally decoded to output a richer estimate of the scene as compared with the raw images captured by conventional imagers. In this dissertation, three task-based computational imaging techniques are developed to make low-quality miniature cameras capable of delivering realistic high-resolution reconstructions, providing full-focus imaging, and acquiring depth information for high dynamic range objects. For the superresolution task, a non-regularized direct superresolution algorithm is developed to achieve realistic restorations without being penalized by improper assumptions (e.g., optimizers, priors, and regularizers) made in the inverse problem. An adaptive frequency-based filtering scheme is introduced to upper bound the reconstruction errors while still producing more fine details as compared with previous methods under realistic imaging conditions. For the full-focus imaging task, a computational depth-based deconvolution technique is proposed to bring a scene captured by an ordinary fixed-focus camera to a full-focus based on a depth-variant point spread function prior. The ringing artifacts are suppressed on three levels: block tiling to eliminate boundary artifacts, adaptive reference maps to reduce ringing initiated by sharp edges, and block-wise deconvolution or depth-based masking to suppress artifacts initiated by neighboring depth-transition surfaces. Finally for the depth acquisition task, a multi-polarization fringe projection imaging technique is introduced to eliminate saturated points and enhance the fringe contrast by selecting the proper polarized channel measurements. The developed technique can be easily extended to include measurements captured under different exposure times to obtain more accurate shape rendering for very high dynamic range objects. Advisors/Committee Members: Liang, Rongguang (advisor), Rodriguez, Jeffrey J (advisor), Liang, Rongguang (committeemember), Rodriguez, Jeffrey J. (committeemember), Bilgin, Ali (committeemember), Milster, Thomas D. (committeemember).

Subjects/Keywords: Computational Imaging; Deconvolution; Depth Estimation; Image Reconstruction; Superresolution; Electrical & Computer Engineering; Cameras

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APA (6^th Edition):

Salahieh, B. (2015). Computational Imaging For Miniature Cameras . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/581305

Chicago Manual of Style (16^th Edition):

Salahieh, Basel. “Computational Imaging For Miniature Cameras .” 2015. Doctoral Dissertation, University of Arizona. Accessed February 26, 2021. http://hdl.handle.net/10150/581305.

MLA Handbook (7^th Edition):

Salahieh, Basel. “Computational Imaging For Miniature Cameras .” 2015. Web. 26 Feb 2021.

Vancouver:

Salahieh B. Computational Imaging For Miniature Cameras . [Internet] [Doctoral dissertation]. University of Arizona; 2015. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10150/581305.

Council of Science Editors:

Salahieh B. Computational Imaging For Miniature Cameras . [Doctoral Dissertation]. University of Arizona; 2015. Available from: http://hdl.handle.net/10150/581305

Brno University of Technology

12. Bača, Petr. Rekonstrukce signálu modifikovaného efektem fade-in/fade-out: Reconstruction of signal modified by fade-in/fade-out.

Degree: 2018, Brno University of Technology

URL: http://hdl.handle.net/11012/68073

► This thesis contains the theory needed to solve the special problem of bit-depth expansion. The goal is to reconstruct the signal which suffered from application… (more)

Subjects/Keywords: Fade-in; fade-out; dekvantizace; rekonstrukce; řídké reprezentace; bitová hloubka.; Fade-in; fade-out; bit-depth expansion; reconstruction; sparse representations; bit-depth.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Bača, P. (2018). Rekonstrukce signálu modifikovaného efektem fade-in/fade-out: Reconstruction of signal modified by fade-in/fade-out. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/68073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Bača, Petr. “Rekonstrukce signálu modifikovaného efektem fade-in/fade-out: Reconstruction of signal modified by fade-in/fade-out.” 2018. Thesis, Brno University of Technology. Accessed February 26, 2021. http://hdl.handle.net/11012/68073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Bača, Petr. “Rekonstrukce signálu modifikovaného efektem fade-in/fade-out: Reconstruction of signal modified by fade-in/fade-out.” 2018. Web. 26 Feb 2021.

Vancouver:

Bača P. Rekonstrukce signálu modifikovaného efektem fade-in/fade-out: Reconstruction of signal modified by fade-in/fade-out. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/11012/68073.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Bača P. Rekonstrukce signálu modifikovaného efektem fade-in/fade-out: Reconstruction of signal modified by fade-in/fade-out. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/68073

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

13. Lertrusdachakul, Intuoun. A novel 3D recovery method by dynamic (de)focused projection : Nouvelle méthode de reconstruction 3D par projection dynamique (dé)focalisée.

Degree: Docteur es, Instrumentation et informatique de l'image, 2011, Université de Bourgogne

URL: http://www.theses.fr/2011DIJOS057

►

Ce mémoire présente une nouvelle méthode pour l’acquisition 3D basée sur la lumière structurée. Cette méthode unifie les techniques de depth from focus (DFF) et… (more)

▼

Ce mémoire présente une nouvelle méthode pour l’acquisition 3D basée sur la lumière structurée. Cette méthode unifie les techniques de depth from focus (DFF) et depth from defocus (DFD) en utilisant une projection dynamique (dé)focalisée. Avec cette approche, le système d’acquisition d’images est construit de manière à conserver la totalité de l’objet nette sur toutes les images. Ainsi, seuls les motifs projetés sont soumis aux déformations de défocalisation en fonction de la profondeur de l’objet. Quand les motifs projetés ne sont pas focalisés, leurs Point Spread Function (PSF) sont assimilées à une distribution gaussienne. La profondeur finale est calculée en utilisant la relation entre les PSF de différents niveaux de flous et les variations de la profondeur de l’objet. Notre nouvelle estimation de la profondeur peut être utilisée indépendamment. Elle ne souffre pas de problèmes d’occultation ou de mise en correspondance. De plus, elle gère les surfaces sans texture et semi-réfléchissante. Les résultats expérimentaux sur des objets réels démontrent l’efficacité de notre approche, qui offre une estimation de la profondeur fiable et un temps de calcul réduit. La méthode utilise moins d’images que les approches DFF et contrairement aux approches DFD, elle assure que le PSF est localement unique

This paper presents a novel 3D recovery method based on structured light. This method unifies depth from focus (DFF) and depth from defocus (DFD) techniques with the use of a dynamic (de)focused projection. With this approach, the image acquisition system is specifically constructed to keep a whole object sharp in all of the captured images. Therefore, only the projected patterns experience different defocused deformations according to the object’s depths. When the projected patterns are out of focus, their Point Spread Function (PSF) is assumed to follow a Gaussian distribution. The final depth is computed by the analysis of the relationship between the sets of PSFs obtained from different blurs and the variation of the object’s depths. Our new depth estimation can be employed as a stand-alone strategy. It has no problem with occlusion and correspondence issues. Moreover, it handles textureless and partially reflective surfaces. The experimental results on real objects demonstrate the effective performance of our approach, providing reliable depth estimation and competitive time consumption. It uses fewer input images than DFF, and unlike DFD, it ensures that the PSF is locally unique.

Advisors/Committee Members: Laligant, Olivier (thesis director), Fougerolle, Yohan (thesis director).

Subjects/Keywords: Pas de mot clé en français; Focus; Depth from defocus; Active illumination pattern; Range sensor; Blur estimation; 3D reconstruction; 006.6; 535

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lertrusdachakul, I. (2011). A novel 3D recovery method by dynamic (de)focused projection : Nouvelle méthode de reconstruction 3D par projection dynamique (dé)focalisée. (Doctoral Dissertation). Université de Bourgogne. Retrieved from http://www.theses.fr/2011DIJOS057

Chicago Manual of Style (16^th Edition):

Lertrusdachakul, Intuoun. “A novel 3D recovery method by dynamic (de)focused projection : Nouvelle méthode de reconstruction 3D par projection dynamique (dé)focalisée.” 2011. Doctoral Dissertation, Université de Bourgogne. Accessed February 26, 2021. http://www.theses.fr/2011DIJOS057.

MLA Handbook (7^th Edition):

Lertrusdachakul, Intuoun. “A novel 3D recovery method by dynamic (de)focused projection : Nouvelle méthode de reconstruction 3D par projection dynamique (dé)focalisée.” 2011. Web. 26 Feb 2021.

Vancouver:

Lertrusdachakul I. A novel 3D recovery method by dynamic (de)focused projection : Nouvelle méthode de reconstruction 3D par projection dynamique (dé)focalisée. [Internet] [Doctoral dissertation]. Université de Bourgogne; 2011. [cited 2021 Feb 26]. Available from: http://www.theses.fr/2011DIJOS057.

Council of Science Editors:

Lertrusdachakul I. A novel 3D recovery method by dynamic (de)focused projection : Nouvelle méthode de reconstruction 3D par projection dynamique (dé)focalisée. [Doctoral Dissertation]. Université de Bourgogne; 2011. Available from: http://www.theses.fr/2011DIJOS057

University of Oulu

14. Ylimäki, M. (Markus). Methods for image-based 3-D modeling using color and depth cameras.

Degree: 2017, University of Oulu

URL: http://urn.fi/urn:isbn:9789526217352

►

Abstract This work addresses the problems related to three-dimensional modeling of scenes and objects and model evaluation. The work is divided into four main parts.… (more)

▼

Abstract This work addresses the problems related to three-dimensional modeling of scenes and objects and model evaluation. The work is divided into four main parts. At first, the work concentrates on purely image-based reconstruction while the second part presents a modeling pipeline based on an active depth sensor. Then, the work introduces methods for producing surface meshes from point clouds, and finally, a novel approach for model evaluation is presented. In the first part, this work proposes a multi-view stereo (MVS) reconstruction method that takes a set of images as an input and outputs a model represented as a point cloud. The method is based on match propagation, where a set of initial corresponding points between images is expanded iteratively into larger regions by searching new correspondences in the spatial neighborhood of the existing ones. The expansion is implemented using a best-first strategy, where the most reliable match is always expanded first. The method produces comparable results with the state-of-the-art but significantly faster. In the second part, this work presents a method that merges a sequence of depth maps into a single non-redundant point cloud. In the areas, where the depth maps overlap, the method fuses points together by giving more weight to points which seem to be more reliable. The method overcomes its predecessor both in accuracy and robustness. In addition, this part introduces a method for depth camera calibration. The method develops on an existing calibration approach which was originally designed for the first generation Microsoft Kinect device. The third part of the thesis addresses the problem of converting the point clouds to surface meshes. The work briefly reviews two well-known approaches and compares their ability to produce sparse mesh models without sacrificing accuracy. Finally, the fourth part of this work describes the development of a novel approach for performance evaluation of reconstruction algorithms. In addition to the accuracy and completeness, which are the metrics commonly used in existing evaluation benchmarks, the method also takes the compactness of the models into account. The metric enables the evaluation of the accuracy-compactness trade-off of the models.

Tiivistelmä Tässä työssä käsitellään näkymän tai esineen kolmiulotteista mallintamista ja tulosten laadun arviointia. Työ on jaettu neljään osaan. Ensiksi keskitytään pelkästään valokuvia hyödyntävään mallinnukseen ja sitten esitellään menetelmä syvyyskamerapohjaiseen mallinnukseen. Kolmas osa kuvaa menetelmiä verkkomallien luomiseen pistepilvestä ja lopuksi esitellään menetelmä mallien laadun arviointiin. Ensimmäisessä osassa esitellään usean kuvan stereoon perustuva mallinnusmenetelmä, joka saa syötteenä joukon valokuvia ja tuottaa kuvissa näkyvästä kohteesta pistepilvimallin. Menetelmä perustuu vastinpisteiden laajennukseen, jossa kuvien välisiä pistevastaavuuksia laajennetaan iteratiivisesti suuremmiksi vastinalueiksi hakemalla uusia vastinpistepareja jo löydettyjen läheisyydestä.…

Advisors/Committee Members: Heikkilä, J. (Janne), Kannala, J. (Juho).

Subjects/Keywords: computer vision; depth map fusion; image-based modeling; model optimization; stereo reconstruction; konenäkö; kuvapohjainen mallinnus; mallin optimointi; stereo rekonstruktio; syvyyskarttojen fuusio

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ylimäki, M. (. (2017). Methods for image-based 3-D modeling using color and depth cameras. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789526217352

Chicago Manual of Style (16^th Edition):

Ylimäki, M (Markus). “Methods for image-based 3-D modeling using color and depth cameras.” 2017. Doctoral Dissertation, University of Oulu. Accessed February 26, 2021. http://urn.fi/urn:isbn:9789526217352.

MLA Handbook (7^th Edition):

Ylimäki, M (Markus). “Methods for image-based 3-D modeling using color and depth cameras.” 2017. Web. 26 Feb 2021.

Vancouver:

Ylimäki M(. Methods for image-based 3-D modeling using color and depth cameras. [Internet] [Doctoral dissertation]. University of Oulu; 2017. [cited 2021 Feb 26]. Available from: http://urn.fi/urn:isbn:9789526217352.

Council of Science Editors:

Ylimäki M(. Methods for image-based 3-D modeling using color and depth cameras. [Doctoral Dissertation]. University of Oulu; 2017. Available from: http://urn.fi/urn:isbn:9789526217352

15. WANG DAOLEI. Depth Recovery with Rectification using Single-Lens Prism based Stereovision System.

Degree: 2012, National University of Singapore

URL: http://scholarbank.nus.edu.sg/handle/10635/35831

Subjects/Keywords: Stereovision; rectification; stereo matching; reconstruction; single-lens; depth

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

DAOLEI, W. (2012). Depth Recovery with Rectification using Single-Lens Prism based Stereovision System. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/35831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

DAOLEI, WANG. “Depth Recovery with Rectification using Single-Lens Prism based Stereovision System.” 2012. Thesis, National University of Singapore. Accessed February 26, 2021. http://scholarbank.nus.edu.sg/handle/10635/35831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

DAOLEI, WANG. “Depth Recovery with Rectification using Single-Lens Prism based Stereovision System.” 2012. Web. 26 Feb 2021.

Vancouver:

DAOLEI W. Depth Recovery with Rectification using Single-Lens Prism based Stereovision System. [Internet] [Thesis]. National University of Singapore; 2012. [cited 2021 Feb 26]. Available from: http://scholarbank.nus.edu.sg/handle/10635/35831.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

DAOLEI W. Depth Recovery with Rectification using Single-Lens Prism based Stereovision System. [Thesis]. National University of Singapore; 2012. Available from: http://scholarbank.nus.edu.sg/handle/10635/35831

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Illinois – Urbana-Champaign

16. Huang, Po-Han. DeepMVS: learning multi-view stereopsis.

Degree: MS, Electrical & Computer Engr, 2018, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/101770

► We present DeepMVS, a deep convolutional neural network (ConvNet) for multi-view stereo reconstruction. Taking an arbitrary number of posed images as input, we first produce… (more)

Subjects/Keywords: computer vision; deep learning; multi-view stereo; DeepMVS; pattern recognition; 3D reconstruction; depth estimation; machine learning; convolutional neural network

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Huang, P. (2018). DeepMVS: learning multi-view stereopsis. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101770

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Huang, Po-Han. “DeepMVS: learning multi-view stereopsis.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed February 26, 2021. http://hdl.handle.net/2142/101770.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Huang, Po-Han. “DeepMVS: learning multi-view stereopsis.” 2018. Web. 26 Feb 2021.

Vancouver:

Huang P. DeepMVS: learning multi-view stereopsis. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/2142/101770.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang P. DeepMVS: learning multi-view stereopsis. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101770

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Oulu

17. Herrera Castro, D. (Daniel). From images to point clouds:practical considerations for three-dimensional computer vision.

Degree: 2015, University of Oulu

URL: http://urn.fi/urn:isbn:9789526208534

►

Abstract Three-dimensional scene reconstruction has been an important area of research for many decades. It has a myriad of applications ranging from entertainment to medicine.… (more)

▼

Abstract Three-dimensional scene reconstruction has been an important area of research for many decades. It has a myriad of applications ranging from entertainment to medicine. This thesis explores the 3D reconstruction pipeline and proposes novel methods to improve many of the steps necessary to achieve a high quality reconstruction. It proposes novel methods in the areas of depth sensor calibration, simultaneous localization and mapping, depth map inpainting, point cloud simplification, and free-viewpoint rendering. Geometric camera calibration is necessary in every 3D reconstruction pipeline. This thesis focuses on the calibration of depth sensors. It presents a review of sensors models and how they can be calibrated. It then examines the case of the well-known Kinect sensor and proposes a novel calibration method using only planar targets. Reconstructing a scene using only color cameras entails di_erent challenges than when using depth sensors. Moreover, online applications require real-time response and must update the model as new frames are received. The thesis looks at these challenges and presents a novel simultaneous localization and mapping system using only color cameras. It adaptively triangulates points based on the detected baseline while still utilizing non-triangulated features for pose estimation. The thesis addresses the extrapolating missing information in depth maps. It presents three novel methods for depth map inpainting. The first utilizes random sampling to fit planes in the missing regions. The second method utilizes a 2nd-order prior aligned with intensity edges. The third method learns natural filters to apply a Markov random field on a joint intensity and depth prior. This thesis also looks at the issue of reducing the quantity of 3D information to a manageable size. It looks at how to merge depth maps from multiple views without storing redundant information. It presents a method to discard this redundant information while still maintaining the naturally variable resolution. Finally, transparency estimation is examined in the context of free-viewpoint rendering. A procedure to estimate transparency maps for the foreground layers of a multi-view scene is presented. The results obtained reinforce the need for a high accuracy 3D reconstruction pipeline including all the previously presented steps.

Tiivistelmä Kolmiuloitteisen ympäristöä kuvaavan mallin rakentaminen on ollut tärkeä tutkimuksen kohde jo usean vuosikymmenen ajan. Sen sovelluskohteet ulottuvat aina lääketieteestä viihdeteollisuuteen. Väitöskirja tarkastelee 3D ympäristöä kuvaavan mallin tuottamisprosessia ja esittää uusia keinoja parantaa korkealaatuisen rekonstruktion tuottamiseen vaadittavia vaiheita. Työssä esitetään uusia menetelmiä etäisyyssensoreiden kalibrointiin, samanaikaisesti tapahtuvaan paikannukseen ja kartoitukseen, syvyyskartan korjaamiseen, etäisyyspistepilven yksinkertaistamiseen ja vapaan katselukulman kuvantamiseen. Väitöskirjan ensi osa keskittyy etäisyyssensoreiden kalibrointiin. Työ esittelee…

Advisors/Committee Members: Heikkilä, J. (Janne).

Subjects/Keywords: 3D reconstruction; camera calibration; depth map inpainting; free viewpoint rendering; point cloud merging; simultaneous localization and mapping; 3D kuvanmuodostus; kameran kalibrointi; pistepilvien yhdistäminen; syvyyskartan korjaaminen; vapaa katselukulmapohjainen renderöinti

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Herrera Castro, D. (. (2015). From images to point clouds:practical considerations for three-dimensional computer vision. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789526208534

Chicago Manual of Style (16^th Edition):

Herrera Castro, D (Daniel). “From images to point clouds:practical considerations for three-dimensional computer vision.” 2015. Doctoral Dissertation, University of Oulu. Accessed February 26, 2021. http://urn.fi/urn:isbn:9789526208534.

MLA Handbook (7^th Edition):

Herrera Castro, D (Daniel). “From images to point clouds:practical considerations for three-dimensional computer vision.” 2015. Web. 26 Feb 2021.

Vancouver:

Herrera Castro D(. From images to point clouds:practical considerations for three-dimensional computer vision. [Internet] [Doctoral dissertation]. University of Oulu; 2015. [cited 2021 Feb 26]. Available from: http://urn.fi/urn:isbn:9789526208534.

Council of Science Editors:

Herrera Castro D(. From images to point clouds:practical considerations for three-dimensional computer vision. [Doctoral Dissertation]. University of Oulu; 2015. Available from: http://urn.fi/urn:isbn:9789526208534

18. Zhang, Wuming. Towards non-conventional face recognition : shadow removal and heterogeneous scenario : Vers la reconnaissance faciale non conventionnelle : suppression des ombres et scénario hétérogène.

Degree: Docteur es, Informatique, 2017, Lyon

URL: http://www.theses.fr/2017LYSEC030

► Ces dernières années, la biométrie a fait l’objet d’une grande attention en raison du besoin sans cesse croissant d’authentification d’identité, notamment pour sécuriser de plus… (more)

▼ Ces dernières années, la biométrie a fait l’objet d’une grande attention en raison du besoin sans cesse croissant d’authentification d’identité, notamment pour sécuriser de plus en plus d’applications enlignes. Parmi divers traits biométriques, le visage offre des avantages compétitifs sur les autres, e.g., les empreintes digitales ou l’iris, car il est naturel, non-intrusif et facilement acceptable par les humains. Aujourd’hui, les techniques conventionnelles de reconnaissance faciale ont atteint une performance quasi-parfaite dans un environnement fortement contraint où la pose, l’éclairage, l’expression faciale et d’autres sources de variation sont sévèrement contrôlées. Cependant, ces approches sont souvent confinées aux domaines d’application limités parce que les environnements d’imagerie non-idéaux sont très fréquents dans les cas pratiques. Pour relever ces défis d’une manière adaptative, cette thèse porte sur le problème de reconnaissance faciale non contrôlée, dans lequel les images faciales présentent plus de variabilités sur les éclairages. Par ailleurs, une autre question essentielle vise à profiter des informations limitées de 3D pour collaborer avec les techniques basées sur 2D dans un système de reconnaissance faciale hétérogène. Pour traiter les diverses conditions d’éclairage, nous construisons explicitement un modèle de réflectance en caractérisant l’interaction entre la surface de la peau, les sources d’éclairage et le capteur de la caméra pour élaborer une explication de la couleur du visage. A partir de ce modèle basé sur la physique, une représentation robuste aux variations d’éclairage, à savoir Chromaticity Invariant Image (CII), est proposée pour la reconstruction des images faciales couleurs réalistes et sans ombre. De plus, ce processus de la suppression de l’ombre en niveaux de couleur peut être combiné avec les techniques existantes sur la normalisation d’éclairage en niveaux de gris pour améliorer davantage la performance de reconnaissance faciale. Les résultats expérimentaux sur les bases de données de test standard, CMU-PIE et FRGC Ver2.0, démontrent la capacité de généralisation et la robustesse de notre approche contre les variations d’éclairage. En outre, nous étudions l’usage efficace et créatif des données 3D pour la reconnaissance faciale hétérogène. Dans un tel scénario asymétrique, un enrôlement combiné est réalisé en 2D et 3D alors que les images de requête pour la reconnaissance sont toujours les images faciales en 2D. A cette fin, deux Réseaux de Neurones Convolutifs (Convolutional Neural Networks, CNN) sont construits. Le premier CNN est formé pour extraire les descripteurs discriminants d’images 2D/3D pour un appariement hétérogène. Le deuxième CNN combine une structure codeur-décodeur, à savoir U-Net, et Conditional Generative Adversarial Network (CGAN), pour reconstruire l’image faciale en profondeur à partir de son homologue dans l’espace 2D. Plus particulièrement, les images reconstruites en profondeur peuvent être également transmise au premier CNN pour la… Advisors/Committee Members: Morvan, Jean-Marie (thesis director), Chen, Liming (thesis director).

Subjects/Keywords: Reconnaissance faciale; Suppression des ombres; Normalisation d’éclairage; Apprentissage profond; Réseaux de neurones convolutionnels; Reconstruction de profondeur; Face recognition; Shadow removal; Lighting normalization; Deep learning; Convolutional neural networks; Depth recovery

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zhang, W. (2017). Towards non-conventional face recognition : shadow removal and heterogeneous scenario : Vers la reconnaissance faciale non conventionnelle : suppression des ombres et scénario hétérogène. (Doctoral Dissertation). Lyon. Retrieved from http://www.theses.fr/2017LYSEC030

Chicago Manual of Style (16^th Edition):

Zhang, Wuming. “Towards non-conventional face recognition : shadow removal and heterogeneous scenario : Vers la reconnaissance faciale non conventionnelle : suppression des ombres et scénario hétérogène.” 2017. Doctoral Dissertation, Lyon. Accessed February 26, 2021. http://www.theses.fr/2017LYSEC030.

MLA Handbook (7^th Edition):

Zhang, Wuming. “Towards non-conventional face recognition : shadow removal and heterogeneous scenario : Vers la reconnaissance faciale non conventionnelle : suppression des ombres et scénario hétérogène.” 2017. Web. 26 Feb 2021.

Vancouver:

Zhang W. Towards non-conventional face recognition : shadow removal and heterogeneous scenario : Vers la reconnaissance faciale non conventionnelle : suppression des ombres et scénario hétérogène. [Internet] [Doctoral dissertation]. Lyon; 2017. [cited 2021 Feb 26]. Available from: http://www.theses.fr/2017LYSEC030.

Council of Science Editors:

Zhang W. Towards non-conventional face recognition : shadow removal and heterogeneous scenario : Vers la reconnaissance faciale non conventionnelle : suppression des ombres et scénario hétérogène. [Doctoral Dissertation]. Lyon; 2017. Available from: http://www.theses.fr/2017LYSEC030

19. Mustafa, Wail. Depth Measurement Improvement Using Dithering Method in Sensor-shifted Stereo Cameras.

Degree: 2010, , School of Engineering

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4102

► The camera stereo system provides the mechanism for obtaining the 3D information of a target point. However, the depth estimation, in particular, suffers from… (more)

Subjects/Keywords: Depth Reconstruction; Dithering; Skewed Parallel; Stereo Setup; Iso-disparity surfaces

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mustafa, W. (2010). Depth Measurement Improvement Using Dithering Method in Sensor-shifted Stereo Cameras. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4102

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mustafa, Wail. “Depth Measurement Improvement Using Dithering Method in Sensor-shifted Stereo Cameras.” 2010. Thesis, , School of Engineering. Accessed February 26, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4102.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mustafa, Wail. “Depth Measurement Improvement Using Dithering Method in Sensor-shifted Stereo Cameras.” 2010. Web. 26 Feb 2021.

Vancouver:

Mustafa W. Depth Measurement Improvement Using Dithering Method in Sensor-shifted Stereo Cameras. [Internet] [Thesis]. , School of Engineering; 2010. [cited 2021 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4102.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mustafa W. Depth Measurement Improvement Using Dithering Method in Sensor-shifted Stereo Cameras. [Thesis]. , School of Engineering; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4102

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

20. Price, Geoffrey. The identification and quantification of full-depth patching need using remote sensing technology.

Degree: MS, Civil and Environmental Engineering, 2017, Georgia Tech

URL: http://hdl.handle.net/1853/58735

► The current methods for manually inspecting asphalt pavement to identify sections for full-depth patching are time-consuming and labor-intensive. This thesis proposes a novel methodology for… (more)

Subjects/Keywords: Full-depth patching; Patching; Asphalt reconstruction; Remote sensing

…reconstruction of their base layers. In the field, the engineers identifying full-depth patching… …Figure 3-4 Length-Weighted Width v. Crack Density 45 Figure 3-5 Crack depth v. crack density… …Poor lane coverage due to vehicular wandering 58 Figure 4-3 Full Depth Patching need on… …depth patching 74 Figure A-2 Pavement not requiring full-depth patching 75 Figure B-1 Core… …in identifying full-depth patching locations which are characterized by severe alligator…

11 more images…

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APA (6^th Edition):

Price, G. (2017). The identification and quantification of full-depth patching need using remote sensing technology. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/58735

Chicago Manual of Style (16^th Edition):

Price, Geoffrey. “The identification and quantification of full-depth patching need using remote sensing technology.” 2017. Masters Thesis, Georgia Tech. Accessed February 26, 2021. http://hdl.handle.net/1853/58735.

MLA Handbook (7^th Edition):

Price, Geoffrey. “The identification and quantification of full-depth patching need using remote sensing technology.” 2017. Web. 26 Feb 2021.

Vancouver:

Price G. The identification and quantification of full-depth patching need using remote sensing technology. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1853/58735.

Council of Science Editors:

Price G. The identification and quantification of full-depth patching need using remote sensing technology. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/58735

21. Emberger, Simon. Algorithmes, architecture et éléments optiques pour l'acquisition embarquées d'images totalement focalisées et annotées en distance : Algorithms, architecture and optics components for embedded All-in-Focus and distance-annoted image acquision system.

Degree: Docteur es, Ondes et Matériaux, 2017, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire

URL: http://www.theses.fr/2017IMTA0055

► L'acquisition de la profondeur d'une scène en plus de son image est une caractéristique souhaitable pour de nombreuses applications qui dépendent de l'environnement proche. L'état… (more)

▼ L'acquisition de la profondeur d'une scène en plus de son image est une caractéristique souhaitable pour de nombreuses applications qui dépendent de l'environnement proche. L'état de l'art dans le domaine de l'extraction de profondeur propose de nombreuses méthodes, mais très peu sont réellement adaptées aux systèmes embarqués miniaturisés. Certaines parce qu'elles sont trop encombrantes en raison de leur système optique, d'autres parce qu'elles nécessitent une calibration délicate, ou des méthodes de reconstructions difficilement implantables dans un système embarqué. Dans cette thèse nous nous concentrons sur des méthodes a faible complexité matérielle afin de proposer une solution algorithmique et optique pour réaliser un capteur permettant à la fois d'extraire la profondeur de la scène, de fournir une évaluation de pertinence de cette mesure et de proposer des images focalisées en tout point. Dans ce sens, nous montrons que les algorithmes du type Depth from Focus (DfF) sont les plus adaptés à ces contraintes. Ce procédé consiste à acquérir un cube d'images multi-focus d'une même scène pour différentes distances de focalisation. Les images sont analysées afin d'annoter chacune des zones de la scène d'un indice relatif à sa profondeur estimée. Cet indice est utilisé pour reconstruire une image nette en tout point.Nous avons travaillé sur la notion de netteté afin de proposer des solutions peu complexes, uniquement basées sur des additions et comparaisons, et de fait, facilement adaptables pour un portage sur une architecture matérielle. La solution proposée effectue une analyse bidirectionnelle de contraste local puis combine les meilleures estimations de profondeur en fin de traitement. Elle se décline en trois approches avec une restriction de la complexité de plus en plus forte et ainsi une aptitude de plus en plus marquée pour l'embarqué. Pour chaque méthode, des cartes de profondeurs et de confiances sont établies, ainsi qu'une image totalement focalisée constituée d'éléments issus de l'ensemble du cube multi-focus. Ces approches sont comparées en qualité et en complexité à d'autres méthodes de l'état de l'art de complexité similaire. Une architecture est proposée pour une implantation matérielle de la solution la plus prometteuse. La conception de ces algorithmes soulève le problème de la qualité d'image. Il est en effet primordial d'avoir une évolution remarquable du contraste ainsi qu'une invariance de la scène lors de la capture du cube multi-focus. Un effet très souvent négligé dans ce type d'approche est le zoom parasite provoqué par la lentille responsable de la variation de focus. Ce zoom de focalisation fragilise l'aspect invariance de la scène et provoque l'apparition d'artefacts sur les trois informations Profondeur, Image et Confiance. La recherche d'optiques adaptées au DfF constitue donc un second axe de ces travaux. Nous avons évalué des lentilles liquides industrielles et des lentilles modales expérimentales à cristaux liquides nématiques conçues durant cette thèse. Ces technologies ont été… Advisors/Committee Members: Bougrenet de la Tocnaye, Jean-Louis de (thesis director).

Subjects/Keywords: Capteur d'image 3D; Acquisition de la profondeur; Reconstruction d'image totalement focalisée; Imagerie All-In-Focus; 3D Image-Sensor; Depth acquisition; All Focus image generation; Depth Map; Confidence Map; Liquid crystal lens; 620

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Emberger, S. (2017). Algorithmes, architecture et éléments optiques pour l'acquisition embarquées d'images totalement focalisées et annotées en distance : Algorithms, architecture and optics components for embedded All-in-Focus and distance-annoted image acquision system. (Doctoral Dissertation). Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire. Retrieved from http://www.theses.fr/2017IMTA0055

Chicago Manual of Style (16^th Edition):

Emberger, Simon. “Algorithmes, architecture et éléments optiques pour l'acquisition embarquées d'images totalement focalisées et annotées en distance : Algorithms, architecture and optics components for embedded All-in-Focus and distance-annoted image acquision system.” 2017. Doctoral Dissertation, Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire. Accessed February 26, 2021. http://www.theses.fr/2017IMTA0055.

MLA Handbook (7^th Edition):

Emberger, Simon. “Algorithmes, architecture et éléments optiques pour l'acquisition embarquées d'images totalement focalisées et annotées en distance : Algorithms, architecture and optics components for embedded All-in-Focus and distance-annoted image acquision system.” 2017. Web. 26 Feb 2021.

Vancouver:

Emberger S. Algorithmes, architecture et éléments optiques pour l'acquisition embarquées d'images totalement focalisées et annotées en distance : Algorithms, architecture and optics components for embedded All-in-Focus and distance-annoted image acquision system. [Internet] [Doctoral dissertation]. Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire; 2017. [cited 2021 Feb 26]. Available from: http://www.theses.fr/2017IMTA0055.

Council of Science Editors:

Emberger S. Algorithmes, architecture et éléments optiques pour l'acquisition embarquées d'images totalement focalisées et annotées en distance : Algorithms, architecture and optics components for embedded All-in-Focus and distance-annoted image acquision system. [Doctoral Dissertation]. Ecole nationale supérieure Mines-Télécom Atlantique Bretagne Pays de la Loire; 2017. Available from: http://www.theses.fr/2017IMTA0055

INP Toulouse

22. Angladon, Vincent. Room layout estimation on mobile devices : Création de plans d’intérieur avec une tablette.

Degree: Docteur es, Image, Information et Hypermédia, 2018, INP Toulouse

URL: http://www.theses.fr/2018INPT0035

►

L’objectif de cette thèse CIFRE est d’étudier et de tirer parti des derniers appareils mobiles du marché pour générer des 3D des pièces observées. De… (more)

▼

L’objectif de cette thèse CIFRE est d’étudier et de tirer parti des derniers appareils mobiles du marché pour générer des 3D des pièces observées. De nous jours, ces appareils intègrent un grand nombre de capteurs, tel que des capteurs inertiels, des cameras RGB, et depuis peu, des capteurs de profondeur. Sans compter la présence de l’écran tactile qui offre une interface pour interagir avec l’utilisateur. Un cas d’usage typique de ces modèles 3D est la génération de plans d’intérieur, ou de fichiers CAO 3D (conception assistée par ordinateur) appliques a l’industrie du bâtiment. Le modèle permet d’esquisser les travaux de rénovation d’un appartement, ou d’évaluer la fidélité d’un chantier en cours avec le modèle initial. Pour le secteur de l’immobilier, la génération automatique de plans et modèles 3D peut faciliter le calcul de la surface habitable et permet de proposer des visites virtuelles a d’éventuels acquéreurs. Concernant le grand public, ces modèles 3D peuvent être intégrés a des jeux en réalité mixte afin d’offrir une expérience encore plus immersive, ou pour des applications de réalité augmentée, telles que la décoration d’intérieur. La thèse a trois contributions principales. Nous commençons par montrer comment le problème classique de détection des points de fuite dans une image, peut être revisite pour tirer parti de l’utilisation de données inertielles. Nous proposons un algorithme simple et efficace de détection de points de fuite reposant sur l’utilisation du vecteur gravite obtenu via ces données. Un nouveau jeu de données contenant des photos avec des données inertielles est présenté pour l’évaluation d’algorithmes d’estimation de points de fuite et encourager les travaux ultérieurs dans cette direction. Dans une deuxième contribution, nous explorons les approches d’odométrie visuelle de l’état de l’art qui exploitent des capteurs de profondeur. Localiser l’appareil mobile en temps réel est fondamental pour envisager des applications reposant sur la réalité augmentée. Nous proposons une comparaison d’algorithmes existants développés en grande partie pour ordinateur de bureau, afin d’étudier si leur utilisation sur un appareil mobile est envisageable. Pour chaque approche considérée, nous évaluons la précision de la localisation et les performances en temps de calcul sur mobile. Enfin, nous présentons une preuve de concept d’application permettant de générer le plan d’une pièce, en utilisant une tablette du projet Tango, équipée d’un capteur RGB-D. Notre algorithme effectue un traitement incrémental des données 3D acquises au cours de l’observation de la pièce considérée. Nous montrons comment notre approche utilise les indications de l’utilisateur pour corriger pendant la capture le modèle de la pièce.

Room layout generation is the problem of generating a drawing or a digital model of an existing room from a set of measurements such as laser data or images. The generation of floor plans can find application in the building industry to assess the quality and the correctness of an ongoing…

Advisors/Committee Members: Charvillat, Vincent (thesis director), Gasparini, Simone (thesis director).

Subjects/Keywords: Scène intérieure; Plan; Reconstruction 3D; Mobile; Smartphone; Capteur de profondeur; Point de fuite; Nuage de points; Intéraction utilisateur; Indoor; Room layout; Floor plan; 3d reconstruction; Mobile; Smartphone; Depth sensor; Vanishing point; Point cloud; User interaction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Angladon, V. (2018). Room layout estimation on mobile devices : Création de plans d’intérieur avec une tablette. (Doctoral Dissertation). INP Toulouse. Retrieved from http://www.theses.fr/2018INPT0035

Chicago Manual of Style (16^th Edition):

Angladon, Vincent. “Room layout estimation on mobile devices : Création de plans d’intérieur avec une tablette.” 2018. Doctoral Dissertation, INP Toulouse. Accessed February 26, 2021. http://www.theses.fr/2018INPT0035.

MLA Handbook (7^th Edition):

Angladon, Vincent. “Room layout estimation on mobile devices : Création de plans d’intérieur avec une tablette.” 2018. Web. 26 Feb 2021.

Vancouver:

Angladon V. Room layout estimation on mobile devices : Création de plans d’intérieur avec une tablette. [Internet] [Doctoral dissertation]. INP Toulouse; 2018. [cited 2021 Feb 26]. Available from: http://www.theses.fr/2018INPT0035.

Council of Science Editors:

Angladon V. Room layout estimation on mobile devices : Création de plans d’intérieur avec une tablette. [Doctoral Dissertation]. INP Toulouse; 2018. Available from: http://www.theses.fr/2018INPT0035

23. Farnandes, Mathieu. Reconstruction 3-D de surfaces à partir de séquences d'images 2-D acquises par sectionnement optique - Application à l'endothélium cornéen humain ex-vivo observé en microscopie optique conventionnelle : 3-D reconstruction of surfaces from sequences of 2-D images acquired by optical sectioning - Application to the human ex-vivo corneal endothelium observed by conventional optical microscopy.

Degree: Docteur es, Image vision signal, 2011, Saint-Etienne, EMSE

URL: http://www.theses.fr/2011EMSE0597

►

Dans le circuit de la greffe de cornée, l'endothélium de chaque greffon est observé en microscopie optique conventionnelle afin de vérifier que sa densité cellulaire… (more)

▼

Dans le circuit de la greffe de cornée, l'endothélium de chaque greffon est observé en microscopie optique conventionnelle afin de vérifier que sa densité cellulaire est suffisante pour maintenir une bonne transparence après l'opération. Les greffons étant conservés dans un milieu spécifique, ils sont imprégnés de liquide et présentent donc des plis qui perturbent l'observation et le comptage des cellules. Ce problème pratique est à l'origine d’une étude théorique sur les concepts de profondeur de champ étendue et de shape-from-focus. A partir d'une séquence d'images acquise par sectionnement optique, les informations les plus nettes permettent d'une part d'accéder à la topographie de la surface observée et d'autre part de restaurer l'image de sa texture. Une reconstruction surfacique 3-D est alors obtenue en projetant la texture sur la topographie. Cette thèse considère essentiellement l’étape fondamentale de mesure de netteté du processus de reconstruction. Des nouvelles mesures génériques offrant une haute sensibilité à la netteté sont introduites. De par une stratégie 3-D originale au travers de la séquence d'images, une autre mesure très robuste au bruit est proposée. Toutes ces mesures sont testées sur des données simulées puis diverses acquisitions réelles en microscopie optique conventionnelle et comparées aux méthodes de la littérature. Par ailleurs, la mesure 3-D améliore nettement les reconstructions d'endothéliums cornéens à partir de leurs acquisitions particulièrement perturbées (inversions de contraste). Un processus itératif complet de reconstruction 3-D d’endothéliums cornéens est finalement décrit, aboutissant à des résultats solides et exploitables.

In the cornea transplant process, each graft endothelium is observed by conventional optical microscopy to check that its cell density is sufficient to maintain a proper transparency after the transplantation. The grafts are stored in a specific preservation medium, they are thus impregnated with fluid and therefore exhibit folds which make cell observation and counting difficult. This practical issue led to the following theoretical study about the so-called concepts: extended-depth-of-field and shape-from-focus. Throughout a sequence of images acquired by optical sectioning, the in-focus information allows on the one hand to recover the topography of the observed surface and on the other hand to restore the image of its texture. A 3-D reconstruction is then obtained by mapping the texture onto the topography. This thesis basically considers the fundamental step of the reconstruction process that is the focus measurement. New generic focus measurements exhibiting high sharpness sensitivity are introduced. Another one offering high noise robustness is proposed, due to an original 3-D strategy through the image sequence, unlike traditional methods that operate in 2-D. All of them are tested on simulated data and various real acquisitions, and compared to the state-of-the-art methods. Furthermore, the aforementioned 3-D focus measurement clearly…

Advisors/Committee Members: Pinoli, Jean-Charles (thesis director).

Subjects/Keywords: Analyse de netteté; Autofocalisation; Endothélium cornéen humain; Inversions de contraste; Mesure de netteté; Microscopie optique; Mosaïque cellulaire; Profondeur de champ étendue; Reconstruction 3-D; Robustesse; Sectionnement optique; Shape-from-focus; 3-D reconstruction; Autofocusing; Cell Mosaic; Contrast reversals; Extended-depth-of-field; Focus analysis; Focus measurement; Human corneal endothelium; Optical microscopy; Optical sectioning; Robustness; Shape-from-focus

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Farnandes, M. (2011). Reconstruction 3-D de surfaces à partir de séquences d'images 2-D acquises par sectionnement optique - Application à l'endothélium cornéen humain ex-vivo observé en microscopie optique conventionnelle : 3-D reconstruction of surfaces from sequences of 2-D images acquired by optical sectioning - Application to the human ex-vivo corneal endothelium observed by conventional optical microscopy. (Doctoral Dissertation). Saint-Etienne, EMSE. Retrieved from http://www.theses.fr/2011EMSE0597

Chicago Manual of Style (16^th Edition):

Farnandes, Mathieu. “Reconstruction 3-D de surfaces à partir de séquences d'images 2-D acquises par sectionnement optique - Application à l'endothélium cornéen humain ex-vivo observé en microscopie optique conventionnelle : 3-D reconstruction of surfaces from sequences of 2-D images acquired by optical sectioning - Application to the human ex-vivo corneal endothelium observed by conventional optical microscopy.” 2011. Doctoral Dissertation, Saint-Etienne, EMSE. Accessed February 26, 2021. http://www.theses.fr/2011EMSE0597.

MLA Handbook (7^th Edition):

Farnandes, Mathieu. “Reconstruction 3-D de surfaces à partir de séquences d'images 2-D acquises par sectionnement optique - Application à l'endothélium cornéen humain ex-vivo observé en microscopie optique conventionnelle : 3-D reconstruction of surfaces from sequences of 2-D images acquired by optical sectioning - Application to the human ex-vivo corneal endothelium observed by conventional optical microscopy.” 2011. Web. 26 Feb 2021.

Vancouver:

Farnandes M. Reconstruction 3-D de surfaces à partir de séquences d'images 2-D acquises par sectionnement optique - Application à l'endothélium cornéen humain ex-vivo observé en microscopie optique conventionnelle : 3-D reconstruction of surfaces from sequences of 2-D images acquired by optical sectioning - Application to the human ex-vivo corneal endothelium observed by conventional optical microscopy. [Internet] [Doctoral dissertation]. Saint-Etienne, EMSE; 2011. [cited 2021 Feb 26]. Available from: http://www.theses.fr/2011EMSE0597.

Council of Science Editors:

Farnandes M. Reconstruction 3-D de surfaces à partir de séquences d'images 2-D acquises par sectionnement optique - Application à l'endothélium cornéen humain ex-vivo observé en microscopie optique conventionnelle : 3-D reconstruction of surfaces from sequences of 2-D images acquired by optical sectioning - Application to the human ex-vivo corneal endothelium observed by conventional optical microscopy. [Doctoral Dissertation]. Saint-Etienne, EMSE; 2011. Available from: http://www.theses.fr/2011EMSE0597

Texas A&M University

24. Ku, Geng. Photoacoustic and thermoacoustic tomography: system development for biomedical applications.

Degree: PhD, Biomedical Engineering, 2006, Texas A&M University

URL: http://hdl.handle.net/1969.1/3181

► Photoacoustic tomography (PAT), as well as thermoacoustic tomography (TAT), utilize electromagnetic radiation in its visible, near infrared, microwave, and radiofrequency forms, respectively, to induce acoustic… (more)

▼ Photoacoustic tomography (PAT), as well as thermoacoustic tomography (TAT), utilize electromagnetic radiation in its visible, near infrared, microwave, and radiofrequency forms, respectively, to induce acoustic waves in biological tissues for imaging purposes. Combining the advantages of both the high image contrast that results from electromagnetic absorption and the high resolution of ultrasound imaging, these new imaging modalities could be the next successful imaging techniques in biomedical applications. Basic research on PAT and TAT, and the relevant physics, is presented in Chapter I. In Chapter II, we investigate the imaging mechanisms of TAT in terms of signal generation, propagation and detection. We present a theoretical analysis as well as simulations of such imaging characteristics as contrast and resolution, accompanied by experimental results from phantom and tissue samples. In Chapter III, we discuss the further application of TAT to the imaging of biological tissues. The microwave absorption difference in normal and cancerous breast tissues, as well as its influence on thermoacoustic wave generation and the resulting transducer response, is investigated over a wide range of electromagnetic frequencies and depths of tumor locations. In Chapter IV, we describe the mechanism of PAT and the algorithm used for image reconstruction. Because of the broad bandwidth of the laser-induced ultrasonic waves and the limited bandwidth of the single transducer, multiple ultrasonic transducers, each with a different central frequency, are employed for simultaneous detection. Chapter V further demonstrates PATÂs ability to image vascular structures in biological tissue based on bloodÂs strong light absorption capability. The photoacoustic images of rat brain tumors in this study clearly reveal the angiogenesis that is associated with tumors. In Chapter VI, we report on further developing PAT to image deeply embedded optical heterogeneity in biological tissues. The improved imaging ability is attributed to better penetration by NIR light, the use of the optical contrast agent ICG (indocyanine green) and a new detection scheme of a circular scanning configuration. Deep penetrating PAT, which is based on a tissueÂs intrinsic contrast using laser light of 532 nm green light and 1.06 Âµm near infrared light, is also presented. Advisors/Committee Members: Wang, Lihong V. (advisor), Stoica, Georghe (committee member), Cote, Gerard L. (committee member), Wu, Hsin-i (committee member).

Subjects/Keywords: photoacoustic tomography; thermoacoustic tomography; microwave; ultrasonics; medical imaging; biological tissue; brain imaging; spatial resolution; reconstruction; penetration depth; absorption coefficient; contrast agent

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ku, G. (2006). Photoacoustic and thermoacoustic tomography: system development for biomedical applications. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/3181

Chicago Manual of Style (16^th Edition):

Ku, Geng. “Photoacoustic and thermoacoustic tomography: system development for biomedical applications.” 2006. Doctoral Dissertation, Texas A&M University. Accessed February 26, 2021. http://hdl.handle.net/1969.1/3181.

MLA Handbook (7^th Edition):

Ku, Geng. “Photoacoustic and thermoacoustic tomography: system development for biomedical applications.” 2006. Web. 26 Feb 2021.

Vancouver:

Ku G. Photoacoustic and thermoacoustic tomography: system development for biomedical applications. [Internet] [Doctoral dissertation]. Texas A&M University; 2006. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1969.1/3181.

Council of Science Editors:

Ku G. Photoacoustic and thermoacoustic tomography: system development for biomedical applications. [Doctoral Dissertation]. Texas A&M University; 2006. Available from: http://hdl.handle.net/1969.1/3181

25. Lunscher, Nolan. Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map.

Degree: 2018, University of Waterloo

URL: http://hdl.handle.net/10012/12799

► In clothing and particularly in footwear, the variance in the size and shape of people and of clothing poses a problem of how to match… (more)

▼ In clothing and particularly in footwear, the variance in the size and shape of people and of clothing poses a problem of how to match items of clothing to a person. This is specifically important in footwear, as fit is highly dependent on foot shape, which is not fully captured by shoe size. 3D scanning can be used to determine detailed personalized shape information, which can then be used to match against product shape for a more per- sonalized footwear matching experience. In current implementations however, this process is typically expensive and cumbersome. Typical scanning techniques require that a camera capture an object from many views in order to reconstruct shape. This usually requires either many cameras or a moving camera system, both of which being complex engineering tasks to construct. Ideally, in order to reduce the cost and complexity of scanning systems as much as possible, only a single image from a single camera would be needed. With recent techniques, semantics such as knowing the kind of object in view can be leveraged to determine the full 3D shape given incomplete information. Deep learning methods have been shown to be able to reconstruct 3D shape from limited inputs in highly symmetrical objects such as furniture and vehicles. We apply a deep learning approach to the domain of foot scanning, and present meth- ods to reconstruct a 3D point cloud from a single input depth map. Anthropomorphic body parts can be challenging due to their irregular shapes, difficulty for parameterizing and limited symmetries. We present two methods leveraging deep learning models to pro- duce complete foot scans from a single input depth map. We utilize 3D data from MPII Human Shape based on the CAESAR database, and train deep neural networks to learn anthropomorphic shape representations. Our first method attempts to complete the point cloud supplied by the input depth map by simply synthesizing the remaining information. We show that this method is capable of synthesizing the remainder of a point cloud with accuracies of 2.92±0.72 mm, and can be improved to accuracies of 2.55±0.75 mm when using an updated network architecture. Our second method fully synthesizes a complete point cloud foot scan from multiple virtual view points. We show that this method can produce foot scans with accuracies of 1.55±0.41 mm from a single input depth map. We performed additional experiments on real world foot scans captured using Kinect Fusion. We find that despite being trained only on a low resolution representation of foot shape, our models are able to recognize and synthesize reasonable complete point cloud scans. Our results suggest that our methods can be extended to work in the real world, with additional domain specific data.

Subjects/Keywords: Deep Learning; 3D Reconstruction; Computer Vision; Scanning; Depth Map; Neural Network; Footwear

…88, 89] but its inclusion of the depth component allowed for the reconstruction of an… …3 Algorithms and Methods 23 3.1 Foot Shape Depth Map Data… …21 2.16 View synthesis for object reconstruction by Tatarchenko et al. [76]. A… …testing. . . . . . . . . . 25 3.3 Point cloud completion depth camera pose configuration… …27 3.4 Depth map input/output configuration. Red: points from the input depth map, Blue…

11 more images…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lunscher, N. (2018). Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/12799

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lunscher, Nolan. “Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map.” 2018. Thesis, University of Waterloo. Accessed February 26, 2021. http://hdl.handle.net/10012/12799.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lunscher, Nolan. “Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map.” 2018. Web. 26 Feb 2021.

Vancouver:

Lunscher N. Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10012/12799.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lunscher N. Deep Learning 3D Scans for Footwear Fit Estimation from a Single Depth Map. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/12799

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

AUT University

26. Chien, Hsiang-Jen. Egomotion estimation and multi-run depth data integration for 3D reconstruction of street scenes .

Degree: AUT University

URL: http://hdl.handle.net/10292/11149

► Digitalisation of a 3D scene has been a fundamental yet highly active topic in the field of computer science. The acquisition of detailed 3D information… (more)

Subjects/Keywords: Computer vision; Egomotion estimation; Pose recovery; Image features; 3D reconstruction; Depth data integration; Visual odometry; SLAM; Structure from motion; Street scenes

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Chien, H. (n.d.). Egomotion estimation and multi-run depth data integration for 3D reconstruction of street scenes . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/11149

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Chien, Hsiang-Jen. “Egomotion estimation and multi-run depth data integration for 3D reconstruction of street scenes .” Thesis, AUT University. Accessed February 26, 2021. http://hdl.handle.net/10292/11149.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Chien, Hsiang-Jen. “Egomotion estimation and multi-run depth data integration for 3D reconstruction of street scenes .” Web. 26 Feb 2021.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Chien H. Egomotion estimation and multi-run depth data integration for 3D reconstruction of street scenes . [Internet] [Thesis]. AUT University; [cited 2021 Feb 26]. Available from: http://hdl.handle.net/10292/11149.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Chien H. Egomotion estimation and multi-run depth data integration for 3D reconstruction of street scenes . [Thesis]. AUT University; Available from: http://hdl.handle.net/10292/11149

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Australian National University

27. Drory, Ami. Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth .

Degree: 2017, Australian National University

URL: http://hdl.handle.net/1885/129415

► Motivation. In Biomechanics, musculoskeletal models yield information that cannot be non-invasively obtained by direct measurement based on skeletal kinematics. Unsatisfactorily, obtaining accurate skeletal kinematics is… (more)

▼ Motivation. In Biomechanics, musculoskeletal models yield information that cannot be non-invasively obtained by direct measurement based on skeletal kinematics. Unsatisfactorily, obtaining accurate skeletal kinematics is limited to either user manual labelling or marker-based motion capture systems (MoCaps) that are limited by expansive infrastructure, environmental conditions, obtrusive markers causing movement impediment and occlusion errors. Moreover, they cannot yield surface geometry that is critical for many biomechanical applications. To advance the state of knowledge, real-time user-free acquisition of individualised pose and surface geometry is currently needed, and motivates our work on this thesis. Aims. The goals of this dissertation are; 1) to explore how advances in computer vision and machine learning algorithms can be levered to provide the necessary framework for in-natura acquisition of skeletal kinematics, 2) in a challenge to the traditional biomechanics modelling reliance on skeletal pose only, explore how computer vision algorithms can be used to develop shape recovery framework, 3) to demonstrate the potential of human detection, tracking, pose estimation and surface recovery techniques to address open problems in biomechanics. Contributions. We demonstrate skeletal pose estimation from monocular images in challenging environments under a discriminative pictorial structure framework. We extend the flexible part based approach to explicitly model human-object interaction. Our empirical performance results show that our proposed extension to the technique improves pose estimation. Further, we develop a hybrid framework for human detection and shape recovery using a discriminative deformable part based model for detection with a learnt shape and appearance model priors for shape recovery from monocular images. We also develop a real time framework for simultaneous activity recognition, pose estimation and shape recovery using information from a structured light sensor. For a demonstrator application, we develop a theoretical model that uses the recovered shape to solve downstream open questions in biomechanics. Finally, we develop object detection and tracking in a particularly challenging environment from image sequences that include rapid shot and view transition using complementary trained discriminative classifiers. We apply our techniques to the human ambulatory modalities of cycling and kayaking because they are common in both the clinical and sports biomechanics settings, but are rarely studied because they present unique challenges. Specifically, many applied problems relating to those modalities remain open due to absence of robust markerless motion capture that can recover skeletal kinematics and surface geometry in-natura. Impact. The…

Subjects/Keywords: Biomechanics; Computer Vision; Machine Learning; Kinematics; Markerless; Motion Capture; Pose Estimation; Sport Biomechanics; Cycling; Canoe; Kayak; Slalom; Tracking; Aerodynamics; Parts Based Model; Pictorial Structures; Depth; Object Detection; Surface Reconstruction; Classification; Supervised Learning; Cascade of Rejectors; Active Contour; Statistical Shape Model; Appearance Model

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Drory, A. (2017). Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/129415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Drory, Ami. “Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth .” 2017. Thesis, Australian National University. Accessed February 26, 2021. http://hdl.handle.net/1885/129415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Drory, Ami. “Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth .” 2017. Web. 26 Feb 2021.

Vancouver:

Drory A. Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth . [Internet] [Thesis]. Australian National University; 2017. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/1885/129415.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Drory A. Computer Vision and Machine Learning for Biomechanics Applications : Human Detection, Pose and Shape Estimation and Tracking in Unconstrained Environment From Uncalibrated Images, Videos and Depth . [Thesis]. Australian National University; 2017. Available from: http://hdl.handle.net/1885/129415

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Linköping University

28. Svensson, Fredrik. Structure from Forward Motion.

Degree: Computer Vision, 2010, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60136

►

This master thesis investigates the difficulties of constructing a depth map using one low resolution grayscale camera mounted in the front of a car.… (more)

Subjects/Keywords: Structure from Motion; Reconstruction; Depth Map; Optical Flow; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system)

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Svensson, F. (2010). Structure from Forward Motion. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60136

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Svensson, Fredrik. “Structure from Forward Motion.” 2010. Thesis, Linköping University. Accessed February 26, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60136.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Svensson, Fredrik. “Structure from Forward Motion.” 2010. Web. 26 Feb 2021.

Vancouver:

Svensson F. Structure from Forward Motion. [Internet] [Thesis]. Linköping University; 2010. [cited 2021 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60136.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Svensson F. Structure from Forward Motion. [Thesis]. Linköping University; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-60136

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Wen, Wei. Performance Evaluating of some Methods in 3D Depth Reconstruction from a Single Image.

Degree: 2009, , School of Engineering

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2323

► We studied the problem of 3D reconstruction from a single image. The 3D reconstruction is one of the basic problems in Computer Vision. The… (more)

Subjects/Keywords: 3D reconstruction; single image; depth; superpixel; stereo images; psychological stereoscopy; vanishing point; vanishing line.; Signal Processing; Signalbehandling

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Wen, W. (2009). Performance Evaluating of some Methods in 3D Depth Reconstruction from a Single Image. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2323

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Wen, Wei. “Performance Evaluating of some Methods in 3D Depth Reconstruction from a Single Image.” 2009. Thesis, , School of Engineering. Accessed February 26, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2323.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Wen, Wei. “Performance Evaluating of some Methods in 3D Depth Reconstruction from a Single Image.” 2009. Web. 26 Feb 2021.

Vancouver:

Wen W. Performance Evaluating of some Methods in 3D Depth Reconstruction from a Single Image. [Internet] [Thesis]. , School of Engineering; 2009. [cited 2021 Feb 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2323.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wen W. Performance Evaluating of some Methods in 3D Depth Reconstruction from a Single Image. [Thesis]. , School of Engineering; 2009. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-2323

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Thorsen, Justin. Single view object completion.

Degree: MS, 0112, 2015, University of Illinois – Urbana-Champaign

URL: http://hdl.handle.net/2142/72806

► The goal of this paper is to achieve complete reconstruction of a 3d object from a single depth image observation. Much effort has been put… (more)

Subjects/Keywords: Single view object reconstruction; Object completion from a depth map; Partial view matching; Object deformation

…returning the matched mesh or only using depth reconstruction. Reconstruction nearly always… …achieves better reconstructions than simple depth reconstruction. However novel class… …model Novel class Novel view Depth Map Depth-based Reconstruction Retrieved Mesh… …Examples of completed shapes. From left to right: input depth image, reconstruction based on… …depth image only, retrieved exemplar mesh, deformed exemplar, reconstruction based on exemplar…

10 more images…

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Thorsen, J. (2015). Single view object completion. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/72806

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Thorsen, Justin. “Single view object completion.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed February 26, 2021. http://hdl.handle.net/2142/72806.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Thorsen, Justin. “Single view object completion.” 2015. Web. 26 Feb 2021.

Vancouver:

Thorsen J. Single view object completion. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2021 Feb 26]. Available from: http://hdl.handle.net/2142/72806.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thorsen J. Single view object completion. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/72806

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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Open Access Theses and Dissertations