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You searched for subject:(Depth estimation). Showing records 1 – 30 of 91 total matches.

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University of Texas – Austin

1. -1801-9896. Perceptual monocular depth estimation.

Degree: PhD, Electrical and Computer Engineering, 2020, University of Texas – Austin

 Monocular depth estimation (MDE), which is the task of using a single image to predict scene depths, has gained considerable interest, in large part owing… (more)

Subjects/Keywords: Monocular depth estimation; Natural scene statistics; Depth estimation; Perceptual depth estimation; Bivariate natural scene statistics; Bivariate correlation

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

APA (6th Edition):

-1801-9896. (2020). Perceptual monocular depth estimation. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/8461

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-1801-9896. “Perceptual monocular depth estimation.” 2020. Doctoral Dissertation, University of Texas – Austin. Accessed April 22, 2021. http://dx.doi.org/10.26153/tsw/8461.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-1801-9896. “Perceptual monocular depth estimation.” 2020. Web. 22 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-1801-9896. Perceptual monocular depth estimation. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2020. [cited 2021 Apr 22]. Available from: http://dx.doi.org/10.26153/tsw/8461.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-1801-9896. Perceptual monocular depth estimation. [Doctoral Dissertation]. University of Texas – Austin; 2020. Available from: http://dx.doi.org/10.26153/tsw/8461

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


Universitat Autònoma de Barcelona

2. Cheda, Diego. Monocular Depth Cues in Computer Vision Applications.

Degree: Departament de Ciències de la Computació, 2012, Universitat Autònoma de Barcelona

Depth perception is a key aspect of human vision. It is a routine and essential visual task that the human do effortlessly in many daily… (more)

Subjects/Keywords: Monocular depth cues; Computer vision; Depth estimation; Tecnologies; 62

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APA (6th Edition):

Cheda, D. (2012). Monocular Depth Cues in Computer Vision Applications. (Thesis). Universitat Autònoma de Barcelona. Retrieved from http://hdl.handle.net/10803/121644

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

Chicago Manual of Style (16th Edition):

Cheda, Diego. “Monocular Depth Cues in Computer Vision Applications.” 2012. Thesis, Universitat Autònoma de Barcelona. Accessed April 22, 2021. http://hdl.handle.net/10803/121644.

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

MLA Handbook (7th Edition):

Cheda, Diego. “Monocular Depth Cues in Computer Vision Applications.” 2012. Web. 22 Apr 2021.

Vancouver:

Cheda D. Monocular Depth Cues in Computer Vision Applications. [Internet] [Thesis]. Universitat Autònoma de Barcelona; 2012. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10803/121644.

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

Council of Science Editors:

Cheda D. Monocular Depth Cues in Computer Vision Applications. [Thesis]. Universitat Autònoma de Barcelona; 2012. Available from: http://hdl.handle.net/10803/121644

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


Australian National University

3. Qiu, Jiayan. Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image .

Degree: 2016, Australian National University

 Convolutional neural network (CNN), one of the most commonly used deep learning methods, has been applied to various computer vision and pattern recognition tasks, and… (more)

Subjects/Keywords: Convolutional Neural Network; Deep Learning; Computer Vision; Age Estimation; Depth Estimation

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APA (6th Edition):

Qiu, J. (2016). Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/102510

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

Chicago Manual of Style (16th Edition):

Qiu, Jiayan. “Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image .” 2016. Thesis, Australian National University. Accessed April 22, 2021. http://hdl.handle.net/1885/102510.

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

MLA Handbook (7th Edition):

Qiu, Jiayan. “Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image .” 2016. Web. 22 Apr 2021.

Vancouver:

Qiu J. Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image . [Internet] [Thesis]. Australian National University; 2016. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/1885/102510.

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

Council of Science Editors:

Qiu J. Convolutional Neural Network based Age Estimation from Facial Image and Depth Prediction from Single Image . [Thesis]. Australian National University; 2016. Available from: http://hdl.handle.net/1885/102510

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


IUPUI

4. Emerson, David R. 3-D Scene Reconstruction for Passive Ranging Using Depth from Defocus and Deep Learning.

Degree: 2019, IUPUI

Indiana University-Purdue University Indianapolis (IUPUI)

Depth estimation is increasingly becoming more important in computer vision. The requirement for autonomous systems to gauge their surroundings is… (more)

Subjects/Keywords: Depth estimation; Deep Learning; Depth from Focus; Microfluidic Lens; LIDAR; Particle Swarm Optimization (PSO)

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APA (6th Edition):

Emerson, D. R. (2019). 3-D Scene Reconstruction for Passive Ranging Using Depth from Defocus and Deep Learning. (Thesis). IUPUI. Retrieved from http://hdl.handle.net/1805/19900

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

Chicago Manual of Style (16th Edition):

Emerson, David R. “3-D Scene Reconstruction for Passive Ranging Using Depth from Defocus and Deep Learning.” 2019. Thesis, IUPUI. Accessed April 22, 2021. http://hdl.handle.net/1805/19900.

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

MLA Handbook (7th Edition):

Emerson, David R. “3-D Scene Reconstruction for Passive Ranging Using Depth from Defocus and Deep Learning.” 2019. Web. 22 Apr 2021.

Vancouver:

Emerson DR. 3-D Scene Reconstruction for Passive Ranging Using Depth from Defocus and Deep Learning. [Internet] [Thesis]. IUPUI; 2019. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/1805/19900.

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

Council of Science Editors:

Emerson DR. 3-D Scene Reconstruction for Passive Ranging Using Depth from Defocus and Deep Learning. [Thesis]. IUPUI; 2019. Available from: http://hdl.handle.net/1805/19900

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


Brunel University

5. Akuha Solomon Aondoakaa, Akuha Solomon Aondoakaa. Depth estimation from a single holoscopic 3D image and image up-sampling with deep-learning.

Degree: PhD, 2020, Brunel University

 3D depth information is widely utilized in industries such as security, autonomous vehicles, robotics, 3D printing, AR/VR entertainment, cinematography and medical science. However, state-of-the-art imaging… (more)

Subjects/Keywords: Computer vision; Structure from motion; 3D depth estimation; Stereoscopic 3D depth; Holoscopic 3D feature extraction

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APA (6th Edition):

Akuha Solomon Aondoakaa, A. S. A. (2020). Depth estimation from a single holoscopic 3D image and image up-sampling with deep-learning. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/20610 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.814416

Chicago Manual of Style (16th Edition):

Akuha Solomon Aondoakaa, Akuha Solomon Aondoakaa. “Depth estimation from a single holoscopic 3D image and image up-sampling with deep-learning.” 2020. Doctoral Dissertation, Brunel University. Accessed April 22, 2021. http://bura.brunel.ac.uk/handle/2438/20610 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.814416.

MLA Handbook (7th Edition):

Akuha Solomon Aondoakaa, Akuha Solomon Aondoakaa. “Depth estimation from a single holoscopic 3D image and image up-sampling with deep-learning.” 2020. Web. 22 Apr 2021.

Vancouver:

Akuha Solomon Aondoakaa ASA. Depth estimation from a single holoscopic 3D image and image up-sampling with deep-learning. [Internet] [Doctoral dissertation]. Brunel University; 2020. [cited 2021 Apr 22]. Available from: http://bura.brunel.ac.uk/handle/2438/20610 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.814416.

Council of Science Editors:

Akuha Solomon Aondoakaa ASA. Depth estimation from a single holoscopic 3D image and image up-sampling with deep-learning. [Doctoral Dissertation]. Brunel University; 2020. Available from: http://bura.brunel.ac.uk/handle/2438/20610 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.814416


University of Cincinnati

6. Sun, Yi. Depth Estimation Methodology for Modern Digital Photography.

Degree: PhD, Engineering and Applied Science: Electrical Engineering, 2019, University of Cincinnati

 In the modern world, electronic devices with graphical imaging capability, such as digital cameras, projectors, mobile phones, and et cetera, are taking important roles to… (more)

Subjects/Keywords: Electrical Engineering; Depth Estimation; Digital Photography; Digital Camera; Depth-from-defocus; Multiple Images

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APA (6th Edition):

Sun, Y. (2019). Depth Estimation Methodology for Modern Digital Photography. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563527854489549

Chicago Manual of Style (16th Edition):

Sun, Yi. “Depth Estimation Methodology for Modern Digital Photography.” 2019. Doctoral Dissertation, University of Cincinnati. Accessed April 22, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563527854489549.

MLA Handbook (7th Edition):

Sun, Yi. “Depth Estimation Methodology for Modern Digital Photography.” 2019. Web. 22 Apr 2021.

Vancouver:

Sun Y. Depth Estimation Methodology for Modern Digital Photography. [Internet] [Doctoral dissertation]. University of Cincinnati; 2019. [cited 2021 Apr 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563527854489549.

Council of Science Editors:

Sun Y. Depth Estimation Methodology for Modern Digital Photography. [Doctoral Dissertation]. University of Cincinnati; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1563527854489549


KTH

7. Möckelind, Christoffer. Improving deep monocular depth predictions using dense narrow field of view depth images.

Degree: RPL, 2018, KTH

In this work we study a depth prediction problem where we provide a narrow field of view depth image and a wide field of… (more)

Subjects/Keywords: Deep learning; Monocular; Depth estimation; Narrow field of view; RGB; RGBD; Noicy depth; Dense depth; Narrow depth; Sparse depth; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Möckelind, C. (2018). Improving deep monocular depth predictions using dense narrow field of view depth images. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235660

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

Chicago Manual of Style (16th Edition):

Möckelind, Christoffer. “Improving deep monocular depth predictions using dense narrow field of view depth images.” 2018. Thesis, KTH. Accessed April 22, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235660.

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

MLA Handbook (7th Edition):

Möckelind, Christoffer. “Improving deep monocular depth predictions using dense narrow field of view depth images.” 2018. Web. 22 Apr 2021.

Vancouver:

Möckelind C. Improving deep monocular depth predictions using dense narrow field of view depth images. [Internet] [Thesis]. KTH; 2018. [cited 2021 Apr 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235660.

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

Council of Science Editors:

Möckelind C. Improving deep monocular depth predictions using dense narrow field of view depth images. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-235660

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


Johannes Gutenberg Universität Mainz

8. Gamer, Matthias. Reliability and consistency affect the integration of visual depth cues.

Degree: 2008, Johannes Gutenberg Universität Mainz

Abstract Originalsprache (englisch) Visual perception relies on a two-dimensional projection of the viewed scene on the retinas of both eyes. Thus, visual depth has to… (more)

Subjects/Keywords: Sensorische Integration, Tiefenkriterien; Sensory Integration, Cue Fusion, Depth Estimation; Psychology

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APA (6th Edition):

Gamer, M. (2008). Reliability and consistency affect the integration of visual depth cues. (Doctoral Dissertation). Johannes Gutenberg Universität Mainz. Retrieved from http://ubm.opus.hbz-nrw.de/volltexte/2008/1742/

Chicago Manual of Style (16th Edition):

Gamer, Matthias. “Reliability and consistency affect the integration of visual depth cues.” 2008. Doctoral Dissertation, Johannes Gutenberg Universität Mainz. Accessed April 22, 2021. http://ubm.opus.hbz-nrw.de/volltexte/2008/1742/.

MLA Handbook (7th Edition):

Gamer, Matthias. “Reliability and consistency affect the integration of visual depth cues.” 2008. Web. 22 Apr 2021.

Vancouver:

Gamer M. Reliability and consistency affect the integration of visual depth cues. [Internet] [Doctoral dissertation]. Johannes Gutenberg Universität Mainz; 2008. [cited 2021 Apr 22]. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2008/1742/.

Council of Science Editors:

Gamer M. Reliability and consistency affect the integration of visual depth cues. [Doctoral Dissertation]. Johannes Gutenberg Universität Mainz; 2008. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2008/1742/


NSYSU

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

Degree: Master, Electrical Engineering, 2017, NSYSU

 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 (6th 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 (16th Edition):

Cheng, Yuan-Chen. “Efficient 3D Reconstruction System for Large-scale Scene.” 2017. Thesis, NSYSU. Accessed April 22, 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 (7th Edition):

Cheng, Yuan-Chen. “Efficient 3D Reconstruction System for Large-scale Scene.” 2017. Web. 22 Apr 2021.

Vancouver:

Cheng Y. Efficient 3D Reconstruction System for Large-scale Scene. [Internet] [Thesis]. NSYSU; 2017. [cited 2021 Apr 22]. 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

10. Καπρινιώτης, Αχιλλέας. Εκτίμηση βάθους σκηνής από κάμερα τοποθετημένη σε αυτοκίνητο που κινείται.

Degree: 2014, University of Patras

Στη διπλωματική αυτή εργασία αναλύεται η εκτίμηση του βάθους μίας άκαμπτης σκηνής από κάμερα τοποθετημένη σε αυτοκίνητο που κινείται. Στο κεφάλαιο 1 γίνεται μία εισαγωγή… (more)

Subjects/Keywords: Εκτίμηση βάθους; Στερεοσκοπική αντιστοίχιση; 006.37; Depth estimation; Stereo correspondence

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APA (6th Edition):

Καπρινιώτης, . (2014). Εκτίμηση βάθους σκηνής από κάμερα τοποθετημένη σε αυτοκίνητο που κινείται. (Masters Thesis). University of Patras. Retrieved from http://hdl.handle.net/10889/7779

Chicago Manual of Style (16th Edition):

Καπρινιώτης, Αχιλλέας. “Εκτίμηση βάθους σκηνής από κάμερα τοποθετημένη σε αυτοκίνητο που κινείται.” 2014. Masters Thesis, University of Patras. Accessed April 22, 2021. http://hdl.handle.net/10889/7779.

MLA Handbook (7th Edition):

Καπρινιώτης, Αχιλλέας. “Εκτίμηση βάθους σκηνής από κάμερα τοποθετημένη σε αυτοκίνητο που κινείται.” 2014. Web. 22 Apr 2021.

Vancouver:

Καπρινιώτης . Εκτίμηση βάθους σκηνής από κάμερα τοποθετημένη σε αυτοκίνητο που κινείται. [Internet] [Masters thesis]. University of Patras; 2014. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10889/7779.

Council of Science Editors:

Καπρινιώτης . Εκτίμηση βάθους σκηνής από κάμερα τοποθετημένη σε αυτοκίνητο που κινείται. [Masters Thesis]. University of Patras; 2014. Available from: http://hdl.handle.net/10889/7779


University of Delaware

11. Guo, Xinqing. Combining learning and computational imaging for 3D inference.

Degree: PhD, University of Delaware, Department of Computer and Information Sciences, 2017, University of Delaware

 Acquiring 3D geometry of the scene is a key task in computer vision. Applications are numerous, from classical object reconstruction and scene understanding to the… (more)

Subjects/Keywords: Applied sciences; Computational imaging; Deep learning; Depth estimation; Light field

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APA (6th Edition):

Guo, X. (2017). Combining learning and computational imaging for 3D inference. (Doctoral Dissertation). University of Delaware. Retrieved from http://udspace.udel.edu/handle/19716/23209

Chicago Manual of Style (16th Edition):

Guo, Xinqing. “Combining learning and computational imaging for 3D inference.” 2017. Doctoral Dissertation, University of Delaware. Accessed April 22, 2021. http://udspace.udel.edu/handle/19716/23209.

MLA Handbook (7th Edition):

Guo, Xinqing. “Combining learning and computational imaging for 3D inference.” 2017. Web. 22 Apr 2021.

Vancouver:

Guo X. Combining learning and computational imaging for 3D inference. [Internet] [Doctoral dissertation]. University of Delaware; 2017. [cited 2021 Apr 22]. Available from: http://udspace.udel.edu/handle/19716/23209.

Council of Science Editors:

Guo X. Combining learning and computational imaging for 3D inference. [Doctoral Dissertation]. University of Delaware; 2017. Available from: http://udspace.udel.edu/handle/19716/23209


University of Houston

12. Liang, Hong 1984-. Addressing several key outstanding issues and extending the capability of the inverse scattering subseries for internal multiple attenuation, depth imaging, and parameter estimation.

Degree: PhD, Physics, 2013, University of Houston

 The objective of seismic exploration is to determine the physical properties of the Earth's subsurface in order to detect potential hydrocarbon accumulations. The inverse scattering… (more)

Subjects/Keywords: Inverse scattering series; Multiple attenuation; Depth imaging; Parameter estimation; Physics

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APA (6th Edition):

Liang, H. 1. (2013). Addressing several key outstanding issues and extending the capability of the inverse scattering subseries for internal multiple attenuation, depth imaging, and parameter estimation. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/522

Chicago Manual of Style (16th Edition):

Liang, Hong 1984-. “Addressing several key outstanding issues and extending the capability of the inverse scattering subseries for internal multiple attenuation, depth imaging, and parameter estimation.” 2013. Doctoral Dissertation, University of Houston. Accessed April 22, 2021. http://hdl.handle.net/10657/522.

MLA Handbook (7th Edition):

Liang, Hong 1984-. “Addressing several key outstanding issues and extending the capability of the inverse scattering subseries for internal multiple attenuation, depth imaging, and parameter estimation.” 2013. Web. 22 Apr 2021.

Vancouver:

Liang H1. Addressing several key outstanding issues and extending the capability of the inverse scattering subseries for internal multiple attenuation, depth imaging, and parameter estimation. [Internet] [Doctoral dissertation]. University of Houston; 2013. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10657/522.

Council of Science Editors:

Liang H1. Addressing several key outstanding issues and extending the capability of the inverse scattering subseries for internal multiple attenuation, depth imaging, and parameter estimation. [Doctoral Dissertation]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/522


KTH

13. Nassir, Cesar. Domain-Independent Moving Object Depth Estimation using Monocular Camera.

Degree: RPL, 2018, KTH

Today automotive companies across the world strive to create vehicles with fully autonomous capabilities. There are many benefits of developing autonomous vehicles, such as… (more)

Subjects/Keywords: Robotics; Deep Learning; Computer Vision; Depth Estimation; Robotics; Robotteknik och automation

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APA (6th Edition):

Nassir, C. (2018). Domain-Independent Moving Object Depth Estimation using Monocular Camera. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233519

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

Chicago Manual of Style (16th Edition):

Nassir, Cesar. “Domain-Independent Moving Object Depth Estimation using Monocular Camera.” 2018. Thesis, KTH. Accessed April 22, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233519.

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

MLA Handbook (7th Edition):

Nassir, Cesar. “Domain-Independent Moving Object Depth Estimation using Monocular Camera.” 2018. Web. 22 Apr 2021.

Vancouver:

Nassir C. Domain-Independent Moving Object Depth Estimation using Monocular Camera. [Internet] [Thesis]. KTH; 2018. [cited 2021 Apr 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233519.

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

Council of Science Editors:

Nassir C. Domain-Independent Moving Object Depth Estimation using Monocular Camera. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-233519

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


University of Arizona

14. Peng, Kuo-Shiuan. Toward Joint Scene Understanding Using Deep Convolutional Neural Network: Object State, Depth, and Segmentation .

Degree: 2019, University of Arizona

 Semantic understanding is the foundation of an intelligent system in the field of computer vision. Particularly, the real-time usage of the automation systems, such as… (more)

Subjects/Keywords: depth estimation; semantic object; semantic segmentation; semantic understanding

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APA (6th Edition):

Peng, K. (2019). Toward Joint Scene Understanding Using Deep Convolutional Neural Network: Object State, Depth, and Segmentation . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/636671

Chicago Manual of Style (16th Edition):

Peng, Kuo-Shiuan. “Toward Joint Scene Understanding Using Deep Convolutional Neural Network: Object State, Depth, and Segmentation .” 2019. Doctoral Dissertation, University of Arizona. Accessed April 22, 2021. http://hdl.handle.net/10150/636671.

MLA Handbook (7th Edition):

Peng, Kuo-Shiuan. “Toward Joint Scene Understanding Using Deep Convolutional Neural Network: Object State, Depth, and Segmentation .” 2019. Web. 22 Apr 2021.

Vancouver:

Peng K. Toward Joint Scene Understanding Using Deep Convolutional Neural Network: Object State, Depth, and Segmentation . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10150/636671.

Council of Science Editors:

Peng K. Toward Joint Scene Understanding Using Deep Convolutional Neural Network: Object State, Depth, and Segmentation . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/636671


Georgia Tech

15. Raza, Syed H. Temporally consistent semantic segmentation in videos.

Degree: PhD, Electrical and Computer Engineering, 2014, Georgia Tech

 The objective of this Thesis research is to develop algorithms for temporally consistent semantic segmentation in videos. Though many different forms of semantic segmentations exist,… (more)

Subjects/Keywords: Semantic segmentation; Temporal consistency; Causality; Videos; Occlusion boundaries; Depth estimation

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

APA (6th Edition):

Raza, S. H. (2014). Temporally consistent semantic segmentation in videos. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53455

Chicago Manual of Style (16th Edition):

Raza, Syed H. “Temporally consistent semantic segmentation in videos.” 2014. Doctoral Dissertation, Georgia Tech. Accessed April 22, 2021. http://hdl.handle.net/1853/53455.

MLA Handbook (7th Edition):

Raza, Syed H. “Temporally consistent semantic segmentation in videos.” 2014. Web. 22 Apr 2021.

Vancouver:

Raza SH. Temporally consistent semantic segmentation in videos. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/1853/53455.

Council of Science Editors:

Raza SH. Temporally consistent semantic segmentation in videos. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53455


University of Minnesota

16. Mitra, Pallavi. Monocular Depth Estimation using Adversarial Training.

Degree: MS, Computer Science, 2020, University of Minnesota

 Monocular depth estimation is a fundamentally challenging problem in Computer Vision. It is useful for Robotics applications where design constraints prohibit the use of multiple… (more)

Subjects/Keywords: autonomous driving; Generative adversarial networks; global; Monocular depth estimation; supervised

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

APA (6th Edition):

Mitra, P. (2020). Monocular Depth Estimation using Adversarial Training. (Masters Thesis). University of Minnesota. Retrieved from http://hdl.handle.net/11299/216319

Chicago Manual of Style (16th Edition):

Mitra, Pallavi. “Monocular Depth Estimation using Adversarial Training.” 2020. Masters Thesis, University of Minnesota. Accessed April 22, 2021. http://hdl.handle.net/11299/216319.

MLA Handbook (7th Edition):

Mitra, Pallavi. “Monocular Depth Estimation using Adversarial Training.” 2020. Web. 22 Apr 2021.

Vancouver:

Mitra P. Monocular Depth Estimation using Adversarial Training. [Internet] [Masters thesis]. University of Minnesota; 2020. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/11299/216319.

Council of Science Editors:

Mitra P. Monocular Depth Estimation using Adversarial Training. [Masters Thesis]. University of Minnesota; 2020. Available from: http://hdl.handle.net/11299/216319


University of Sydney

17. Fu, Huan. Robust Dense Prediction for Visual Perception .

Degree: 2019, University of Sydney

 Dense prediction or pixel-level labeling targets at predicting labels of interest (e.g., categories, depth values, flow vectors, and edge probabilities) for each pixel of an… (more)

Subjects/Keywords: dense prediction; domain mapping; scene parsing; GANs; depth estimation; boundary detection

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

APA (6th Edition):

Fu, H. (2019). Robust Dense Prediction for Visual Perception . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/20123

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

Chicago Manual of Style (16th Edition):

Fu, Huan. “Robust Dense Prediction for Visual Perception .” 2019. Thesis, University of Sydney. Accessed April 22, 2021. http://hdl.handle.net/2123/20123.

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

MLA Handbook (7th Edition):

Fu, Huan. “Robust Dense Prediction for Visual Perception .” 2019. Web. 22 Apr 2021.

Vancouver:

Fu H. Robust Dense Prediction for Visual Perception . [Internet] [Thesis]. University of Sydney; 2019. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/2123/20123.

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

Council of Science Editors:

Fu H. Robust Dense Prediction for Visual Perception . [Thesis]. University of Sydney; 2019. Available from: http://hdl.handle.net/2123/20123

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


University of New South Wales

18. Li, Qiang. High quality depth estimation for multi-view video.

Degree: Engineering & Information Technology Canberra, 2012, University of New South Wales

 This thesis presents new techniques to improve the quality of adaptive structured light based depth estimation for multi-view video. By interleaving structured light with ambient… (more)

Subjects/Keywords: adaptive structured light; depth estimation; multi-view video

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

APA (6th Edition):

Li, Q. (2012). High quality depth estimation for multi-view video. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52142 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10812/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Li, Qiang. “High quality depth estimation for multi-view video.” 2012. Doctoral Dissertation, University of New South Wales. Accessed April 22, 2021. http://handle.unsw.edu.au/1959.4/52142 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10812/SOURCE01?view=true.

MLA Handbook (7th Edition):

Li, Qiang. “High quality depth estimation for multi-view video.” 2012. Web. 22 Apr 2021.

Vancouver:

Li Q. High quality depth estimation for multi-view video. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2021 Apr 22]. Available from: http://handle.unsw.edu.au/1959.4/52142 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10812/SOURCE01?view=true.

Council of Science Editors:

Li Q. High quality depth estimation for multi-view video. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52142 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10812/SOURCE01?view=true


University of Adelaide

19. Zhan, Huangying. Self-Supervised Learning for Geometry.

Degree: 2020, University of Adelaide

 This thesis focuses on two fundamental problems in robotic vision, scene geometry understanding and camera tracking. While both tasks have been the subject of research… (more)

Subjects/Keywords: Deep learning; un/self-supervised learning; visual odometry; depth estimation; SLAM

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

APA (6th Edition):

Zhan, H. (2020). Self-Supervised Learning for Geometry. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/129566

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

Chicago Manual of Style (16th Edition):

Zhan, Huangying. “Self-Supervised Learning for Geometry.” 2020. Thesis, University of Adelaide. Accessed April 22, 2021. http://hdl.handle.net/2440/129566.

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

MLA Handbook (7th Edition):

Zhan, Huangying. “Self-Supervised Learning for Geometry.” 2020. Web. 22 Apr 2021.

Vancouver:

Zhan H. Self-Supervised Learning for Geometry. [Internet] [Thesis]. University of Adelaide; 2020. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/2440/129566.

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

Council of Science Editors:

Zhan H. Self-Supervised Learning for Geometry. [Thesis]. University of Adelaide; 2020. Available from: http://hdl.handle.net/2440/129566

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


York University

20. Stransky, Debi. First and Second Order Stereoscopic Processing of Fused and Diplopic Targets.

Degree: PhD, Psychology (Functional Area: Brain, Behaviour & Cognitive Science, 2015, York University

Depth from stereopsis is due to the positional difference between the two eyes, which results in each eye receiving a different view of the world.… (more)

Subjects/Keywords: Experimental psychology; Psychology; Neurosciences; Stereopsis; Stereoscopic 3D; 1st- order; 2nd- order; Non-linear mechanism; Fused; Fusion; Diplopic; Diplopia; Depth; Disparity; Metric depth; Depth estimation; Stereoacuity; Stereosensitivity; Spatial dichotomy; Monoptic depth

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

APA (6th Edition):

Stransky, D. (2015). First and Second Order Stereoscopic Processing of Fused and Diplopic Targets. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/29941

Chicago Manual of Style (16th Edition):

Stransky, Debi. “First and Second Order Stereoscopic Processing of Fused and Diplopic Targets.” 2015. Doctoral Dissertation, York University. Accessed April 22, 2021. http://hdl.handle.net/10315/29941.

MLA Handbook (7th Edition):

Stransky, Debi. “First and Second Order Stereoscopic Processing of Fused and Diplopic Targets.” 2015. Web. 22 Apr 2021.

Vancouver:

Stransky D. First and Second Order Stereoscopic Processing of Fused and Diplopic Targets. [Internet] [Doctoral dissertation]. York University; 2015. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/10315/29941.

Council of Science Editors:

Stransky D. First and Second Order Stereoscopic Processing of Fused and Diplopic Targets. [Doctoral Dissertation]. York University; 2015. Available from: http://hdl.handle.net/10315/29941


University of California – San Diego

21. 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

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 (6th 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 (16th 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 April 22, 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 (7th Edition):

Liu, Lee-Kang. “From Image to Video, Depth Data Reconstruction from a Subset of Samples: Representations, Algorithms, and Sampling Strategies.” 2015. Web. 22 Apr 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 Apr 22]. 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

22. Moukari, Michel. Estimation de profondeur à partir d'images monoculaires par apprentissage profond : Depth estimation from monocular images by deep learning.

Degree: Docteur es, Informatique, 2019, Normandie

La vision par ordinateur est une branche de l'intelligence artificielle dont le but est de permettre à une machine d'analyser, de traiter et de comprendre… (more)

Subjects/Keywords: Apprentissage Statistique; Réseau de Neurones Convolutionnel; Estimation de Profondeur; Complétion de Profondeur; Evaluation d'Incertitude; Deep Learning; Convolutional Neural Network; Computer Vision; Depth Estimation; Monocular; 3D; Uncertainty Assessment; Depth Completion

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

APA (6th Edition):

Moukari, M. (2019). Estimation de profondeur à partir d'images monoculaires par apprentissage profond : Depth estimation from monocular images by deep learning. (Doctoral Dissertation). Normandie. Retrieved from http://www.theses.fr/2019NORMC211

Chicago Manual of Style (16th Edition):

Moukari, Michel. “Estimation de profondeur à partir d'images monoculaires par apprentissage profond : Depth estimation from monocular images by deep learning.” 2019. Doctoral Dissertation, Normandie. Accessed April 22, 2021. http://www.theses.fr/2019NORMC211.

MLA Handbook (7th Edition):

Moukari, Michel. “Estimation de profondeur à partir d'images monoculaires par apprentissage profond : Depth estimation from monocular images by deep learning.” 2019. Web. 22 Apr 2021.

Vancouver:

Moukari M. Estimation de profondeur à partir d'images monoculaires par apprentissage profond : Depth estimation from monocular images by deep learning. [Internet] [Doctoral dissertation]. Normandie; 2019. [cited 2021 Apr 22]. Available from: http://www.theses.fr/2019NORMC211.

Council of Science Editors:

Moukari M. Estimation de profondeur à partir d'images monoculaires par apprentissage profond : Depth estimation from monocular images by deep learning. [Doctoral Dissertation]. Normandie; 2019. Available from: http://www.theses.fr/2019NORMC211

23. Mollén, Katarina. Water Depth Estimation Using Ultrasound Pulses for Handheld Diving Equipment.

Degree: The Institute of Technology, 2015, Linköping UniversityLinköping University

This thesis studies the design and implementation of an ultra-sonic water depth sounder. The depth sounder is implemented in a hand-held smart console used… (more)

Subjects/Keywords: Depth sounding; Echo sounding; Underwater ultrasounding; Time of flight estimation; Time delay estimation; Matched filter; Cross correlation; GCC; PHAT; ML

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APA (6th Edition):

Mollén, K. (2015). Water Depth Estimation Using Ultrasound Pulses for Handheld Diving Equipment. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117061

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

Chicago Manual of Style (16th Edition):

Mollén, Katarina. “Water Depth Estimation Using Ultrasound Pulses for Handheld Diving Equipment.” 2015. Thesis, Linköping UniversityLinköping University. Accessed April 22, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117061.

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

MLA Handbook (7th Edition):

Mollén, Katarina. “Water Depth Estimation Using Ultrasound Pulses for Handheld Diving Equipment.” 2015. Web. 22 Apr 2021.

Vancouver:

Mollén K. Water Depth Estimation Using Ultrasound Pulses for Handheld Diving Equipment. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2021 Apr 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117061.

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

Council of Science Editors:

Mollén K. Water Depth Estimation Using Ultrasound Pulses for Handheld Diving Equipment. [Thesis]. Linköping UniversityLinköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-117061

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


Johannes Gutenberg Universität Mainz

24. Frech, Birte. Verhaltensphysiologische Analyse der visuellen Wahrnehmung räumlicher Tiefe beim Goldfisch.

Degree: 2009, Johannes Gutenberg Universität Mainz

Die Frage, wie es zur visuellen Wahrnehmung räumlicher Tiefe kommt, wenn das Retinabild nur zweidimensional ist, gehört zu den grundlegenden Proble-men der Hirnforschung. Für Tiere,… (more)

Subjects/Keywords: Sehen, Entfernungswahrnehmung, Goldfisch, operante Kondtionierung; depth perception, distance estimation, vision, goldfish, operant conditioning; Life sciences

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

APA (6th Edition):

Frech, B. (2009). Verhaltensphysiologische Analyse der visuellen Wahrnehmung räumlicher Tiefe beim Goldfisch. (Doctoral Dissertation). Johannes Gutenberg Universität Mainz. Retrieved from http://ubm.opus.hbz-nrw.de/volltexte/2009/2116/

Chicago Manual of Style (16th Edition):

Frech, Birte. “Verhaltensphysiologische Analyse der visuellen Wahrnehmung räumlicher Tiefe beim Goldfisch.” 2009. Doctoral Dissertation, Johannes Gutenberg Universität Mainz. Accessed April 22, 2021. http://ubm.opus.hbz-nrw.de/volltexte/2009/2116/.

MLA Handbook (7th Edition):

Frech, Birte. “Verhaltensphysiologische Analyse der visuellen Wahrnehmung räumlicher Tiefe beim Goldfisch.” 2009. Web. 22 Apr 2021.

Vancouver:

Frech B. Verhaltensphysiologische Analyse der visuellen Wahrnehmung räumlicher Tiefe beim Goldfisch. [Internet] [Doctoral dissertation]. Johannes Gutenberg Universität Mainz; 2009. [cited 2021 Apr 22]. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2009/2116/.

Council of Science Editors:

Frech B. Verhaltensphysiologische Analyse der visuellen Wahrnehmung räumlicher Tiefe beim Goldfisch. [Doctoral Dissertation]. Johannes Gutenberg Universität Mainz; 2009. Available from: http://ubm.opus.hbz-nrw.de/volltexte/2009/2116/


University of California – Merced

25. Hu, Zhe. Camera Shake Removal From One Single Image.

Degree: Electrical Engineering and Computer Science, 2015, University of California – Merced

 Image blur is one of the most fundamental and challenging problems in photography. It causes significant image degradation, especially in the low light conditions where… (more)

Subjects/Keywords: Computer science; Camera shake removal; depth estimation; good region; Light streaks; Non-uniform model; Prior

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

APA (6th Edition):

Hu, Z. (2015). Camera Shake Removal From One Single Image. (Thesis). University of California – Merced. Retrieved from http://www.escholarship.org/uc/item/9p46c1k2

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

Chicago Manual of Style (16th Edition):

Hu, Zhe. “Camera Shake Removal From One Single Image.” 2015. Thesis, University of California – Merced. Accessed April 22, 2021. http://www.escholarship.org/uc/item/9p46c1k2.

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

MLA Handbook (7th Edition):

Hu, Zhe. “Camera Shake Removal From One Single Image.” 2015. Web. 22 Apr 2021.

Vancouver:

Hu Z. Camera Shake Removal From One Single Image. [Internet] [Thesis]. University of California – Merced; 2015. [cited 2021 Apr 22]. Available from: http://www.escholarship.org/uc/item/9p46c1k2.

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

Council of Science Editors:

Hu Z. Camera Shake Removal From One Single Image. [Thesis]. University of California – Merced; 2015. Available from: http://www.escholarship.org/uc/item/9p46c1k2

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

26. Nguyen, Hieu. 3D Shape, Deformation, Motion and Vibration Measurements using the Stereo-vision-based Techniques.

Degree: 2019, The Catholic University of America

Full-field 3D sensing techniques for shape, deformation, motion, and vibration measurements have emerged as an important tool for numerous applications in various fields. As technologies… (more)

Subjects/Keywords: 3D Imaging; Convolutional Neural Networks; Deep learning; Depth estimation; Stereo Vision; Structured light illumination

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APA (6th Edition):

Nguyen, H. (2019). 3D Shape, Deformation, Motion and Vibration Measurements using the Stereo-vision-based Techniques. (Thesis). The Catholic University of America. Retrieved from http://hdl.handle.net/1961/cuislandora:213668

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

Chicago Manual of Style (16th Edition):

Nguyen, Hieu. “3D Shape, Deformation, Motion and Vibration Measurements using the Stereo-vision-based Techniques.” 2019. Thesis, The Catholic University of America. Accessed April 22, 2021. http://hdl.handle.net/1961/cuislandora:213668.

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

MLA Handbook (7th Edition):

Nguyen, Hieu. “3D Shape, Deformation, Motion and Vibration Measurements using the Stereo-vision-based Techniques.” 2019. Web. 22 Apr 2021.

Vancouver:

Nguyen H. 3D Shape, Deformation, Motion and Vibration Measurements using the Stereo-vision-based Techniques. [Internet] [Thesis]. The Catholic University of America; 2019. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/1961/cuislandora:213668.

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

Council of Science Editors:

Nguyen H. 3D Shape, Deformation, Motion and Vibration Measurements using the Stereo-vision-based Techniques. [Thesis]. The Catholic University of America; 2019. Available from: http://hdl.handle.net/1961/cuislandora:213668

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


Brunel University

27. Alazawi, Eman. Holoscopic 3D image depth estimation and segmentation techniques.

Degree: PhD, 2015, Brunel University

 Today’s 3D imaging techniques offer significant benefits over conventional 2D imaging techniques. The presence of natural depth information in the scene affords the observer an… (more)

Subjects/Keywords: 621.36; Holoscopic 3D image; Depth map estimation; Segmentation; Super resolution image; Subjective evaluation

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

APA (6th Edition):

Alazawi, E. (2015). Holoscopic 3D image depth estimation and segmentation techniques. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/10517 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642452

Chicago Manual of Style (16th Edition):

Alazawi, Eman. “Holoscopic 3D image depth estimation and segmentation techniques.” 2015. Doctoral Dissertation, Brunel University. Accessed April 22, 2021. http://bura.brunel.ac.uk/handle/2438/10517 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642452.

MLA Handbook (7th Edition):

Alazawi, Eman. “Holoscopic 3D image depth estimation and segmentation techniques.” 2015. Web. 22 Apr 2021.

Vancouver:

Alazawi E. Holoscopic 3D image depth estimation and segmentation techniques. [Internet] [Doctoral dissertation]. Brunel University; 2015. [cited 2021 Apr 22]. Available from: http://bura.brunel.ac.uk/handle/2438/10517 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642452.

Council of Science Editors:

Alazawi E. Holoscopic 3D image depth estimation and segmentation techniques. [Doctoral Dissertation]. Brunel University; 2015. Available from: http://bura.brunel.ac.uk/handle/2438/10517 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.642452


National University of Ireland – Galway

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

Degree: 2018, National University of Ireland – Galway

 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 (6th 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 (16th Edition):

Javidnia, Hossein. “Contributions to the measurement of depth in consumer imaging .” 2018. Thesis, National University of Ireland – Galway. Accessed April 22, 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 (7th Edition):

Javidnia, Hossein. “Contributions to the measurement of depth in consumer imaging .” 2018. Web. 22 Apr 2021.

Vancouver:

Javidnia H. Contributions to the measurement of depth in consumer imaging . [Internet] [Thesis]. National University of Ireland – Galway; 2018. [cited 2021 Apr 22]. 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

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

Degree: 2015, University of Arizona

 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)

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

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

APA (6th 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 (16th Edition):

Salahieh, Basel. “Computational Imaging For Miniature Cameras .” 2015. Doctoral Dissertation, University of Arizona. Accessed April 22, 2021. http://hdl.handle.net/10150/581305.

MLA Handbook (7th Edition):

Salahieh, Basel. “Computational Imaging For Miniature Cameras .” 2015. Web. 22 Apr 2021.

Vancouver:

Salahieh B. Computational Imaging For Miniature Cameras . [Internet] [Doctoral dissertation]. University of Arizona; 2015. [cited 2021 Apr 22]. 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


University of Edinburgh

30. Horna Carranza, Luis Alberto. Specialised global methods for binocular and trinocular stereo matching.

Degree: PhD, 2017, University of Edinburgh

 The problem of estimating depth from two or more images is a fundamental problem in computer vision, which is commonly referred as to stereo matching.… (more)

Subjects/Keywords: depth estimation; stereo matching; binocular stereo matching algorithm; 3D; trinocular; trinocular algorithms; binocular algorithms

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Horna Carranza, L. A. (2017). Specialised global methods for binocular and trinocular stereo matching. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/29017

Chicago Manual of Style (16th Edition):

Horna Carranza, Luis Alberto. “Specialised global methods for binocular and trinocular stereo matching.” 2017. Doctoral Dissertation, University of Edinburgh. Accessed April 22, 2021. http://hdl.handle.net/1842/29017.

MLA Handbook (7th Edition):

Horna Carranza, Luis Alberto. “Specialised global methods for binocular and trinocular stereo matching.” 2017. Web. 22 Apr 2021.

Vancouver:

Horna Carranza LA. Specialised global methods for binocular and trinocular stereo matching. [Internet] [Doctoral dissertation]. University of Edinburgh; 2017. [cited 2021 Apr 22]. Available from: http://hdl.handle.net/1842/29017.

Council of Science Editors:

Horna Carranza LA. Specialised global methods for binocular and trinocular stereo matching. [Doctoral Dissertation]. University of Edinburgh; 2017. Available from: http://hdl.handle.net/1842/29017

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