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

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University of Otago

1. Fu, Jie. Learning Hierarchical Sparse Filters for Feature Matching .

Degree: 2012, University of Otago

 A common problem in computer vision is to match corresponding points between images. The success of computer vision has usually relied on having good feature(more)

Subjects/Keywords: Feature Learning; Feature Matching; Computer Vision

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APA (6th Edition):

Fu, J. (2012). Learning Hierarchical Sparse Filters for Feature Matching . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/2360

Chicago Manual of Style (16th Edition):

Fu, Jie. “Learning Hierarchical Sparse Filters for Feature Matching .” 2012. Masters Thesis, University of Otago. Accessed October 21, 2020. http://hdl.handle.net/10523/2360.

MLA Handbook (7th Edition):

Fu, Jie. “Learning Hierarchical Sparse Filters for Feature Matching .” 2012. Web. 21 Oct 2020.

Vancouver:

Fu J. Learning Hierarchical Sparse Filters for Feature Matching . [Internet] [Masters thesis]. University of Otago; 2012. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/10523/2360.

Council of Science Editors:

Fu J. Learning Hierarchical Sparse Filters for Feature Matching . [Masters Thesis]. University of Otago; 2012. Available from: http://hdl.handle.net/10523/2360


Louisiana State University

2. Marefat Navaz, Sahar. A New Computational Framework for Efficient Parallelization and Optimization of Large Scale Graph Matching.

Degree: PhD, Electrical and Computer Engineering, 2017, Louisiana State University

 There are so many applications in data fusion, comparison, and recognition that require a robust and efficient algorithm to match features of multiple images. To… (more)

Subjects/Keywords: plot bar; computer vision; feature matching

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APA (6th Edition):

Marefat Navaz, S. (2017). A New Computational Framework for Efficient Parallelization and Optimization of Large Scale Graph Matching. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-04102017-152252 ; https://digitalcommons.lsu.edu/gradschool_dissertations/4204

Chicago Manual of Style (16th Edition):

Marefat Navaz, Sahar. “A New Computational Framework for Efficient Parallelization and Optimization of Large Scale Graph Matching.” 2017. Doctoral Dissertation, Louisiana State University. Accessed October 21, 2020. etd-04102017-152252 ; https://digitalcommons.lsu.edu/gradschool_dissertations/4204.

MLA Handbook (7th Edition):

Marefat Navaz, Sahar. “A New Computational Framework for Efficient Parallelization and Optimization of Large Scale Graph Matching.” 2017. Web. 21 Oct 2020.

Vancouver:

Marefat Navaz S. A New Computational Framework for Efficient Parallelization and Optimization of Large Scale Graph Matching. [Internet] [Doctoral dissertation]. Louisiana State University; 2017. [cited 2020 Oct 21]. Available from: etd-04102017-152252 ; https://digitalcommons.lsu.edu/gradschool_dissertations/4204.

Council of Science Editors:

Marefat Navaz S. A New Computational Framework for Efficient Parallelization and Optimization of Large Scale Graph Matching. [Doctoral Dissertation]. Louisiana State University; 2017. Available from: etd-04102017-152252 ; https://digitalcommons.lsu.edu/gradschool_dissertations/4204


University of Canterbury

3. O'Donohue, Daniel Gerard. Matching of image features and vector objects to automatically correct spatial misalignment between image and vector data sets.

Degree: MS, Geography, 2010, University of Canterbury

 Direct georeferencing of aerial imagery has the potential to meet escalating demand for image data sets of increasingly higher temporal and spatial resolution. However, variability… (more)

Subjects/Keywords: GIS; feature matching

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APA (6th Edition):

O'Donohue, D. G. (2010). Matching of image features and vector objects to automatically correct spatial misalignment between image and vector data sets. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/6506

Chicago Manual of Style (16th Edition):

O'Donohue, Daniel Gerard. “Matching of image features and vector objects to automatically correct spatial misalignment between image and vector data sets.” 2010. Masters Thesis, University of Canterbury. Accessed October 21, 2020. http://dx.doi.org/10.26021/6506.

MLA Handbook (7th Edition):

O'Donohue, Daniel Gerard. “Matching of image features and vector objects to automatically correct spatial misalignment between image and vector data sets.” 2010. Web. 21 Oct 2020.

Vancouver:

O'Donohue DG. Matching of image features and vector objects to automatically correct spatial misalignment between image and vector data sets. [Internet] [Masters thesis]. University of Canterbury; 2010. [cited 2020 Oct 21]. Available from: http://dx.doi.org/10.26021/6506.

Council of Science Editors:

O'Donohue DG. Matching of image features and vector objects to automatically correct spatial misalignment between image and vector data sets. [Masters Thesis]. University of Canterbury; 2010. Available from: http://dx.doi.org/10.26021/6506


NSYSU

4. Ho, Tsung-Hsuan. Performance Evaluation of the Image Feature-Based Algorithm for Underwater Positioning.

Degree: Master, Institute of Undersea Technology, 2018, NSYSU

 Baseline acoustic positioning systems can obtain the absolute positions of underwater targets, but its update rate is slow and calibration is often complicated and tedious.… (more)

Subjects/Keywords: Seafloor image; Feature matching; Underwater positioning; Image feature; Towed vehicle

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APA (6th Edition):

Ho, T. (2018). Performance Evaluation of the Image Feature-Based Algorithm for Underwater Positioning. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108118-161934

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):

Ho, Tsung-Hsuan. “Performance Evaluation of the Image Feature-Based Algorithm for Underwater Positioning.” 2018. Thesis, NSYSU. Accessed October 21, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108118-161934.

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

MLA Handbook (7th Edition):

Ho, Tsung-Hsuan. “Performance Evaluation of the Image Feature-Based Algorithm for Underwater Positioning.” 2018. Web. 21 Oct 2020.

Vancouver:

Ho T. Performance Evaluation of the Image Feature-Based Algorithm for Underwater Positioning. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Oct 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108118-161934.

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

Council of Science Editors:

Ho T. Performance Evaluation of the Image Feature-Based Algorithm for Underwater Positioning. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0108118-161934

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


Halmstad University

5. Gao, Yang. Article identification for inventory list in a warehouse environment.

Degree: Computer and Electrical Engineering (IDE), 2014, Halmstad University

  In this paper, an object recognition system has been developed that uses local image features. In the system, multiple classes of objects can be… (more)

Subjects/Keywords: Object recognition; SIFT feature; Feature matching; DBSCAN; RANSAC; Bag of Words

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APA (6th Edition):

Gao, Y. (2014). Article identification for inventory list in a warehouse environment. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27132

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):

Gao, Yang. “Article identification for inventory list in a warehouse environment.” 2014. Thesis, Halmstad University. Accessed October 21, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27132.

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

MLA Handbook (7th Edition):

Gao, Yang. “Article identification for inventory list in a warehouse environment.” 2014. Web. 21 Oct 2020.

Vancouver:

Gao Y. Article identification for inventory list in a warehouse environment. [Internet] [Thesis]. Halmstad University; 2014. [cited 2020 Oct 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27132.

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

Council of Science Editors:

Gao Y. Article identification for inventory list in a warehouse environment. [Thesis]. Halmstad University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-27132

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


Cornell University

6. Altwaijry, Hani Abdulaziz S. LEARNING TO MATCH IMAGES WITH KEYPOINTS AND DESCRIPTORS.

Degree: PhD, Computer Science, 2017, Cornell University

 Image matching is a fundamental problem in computer vision. In the context of feature-based correspondence matching, SIFT and its variants have long excelled in a… (more)

Subjects/Keywords: feature description; computer vision; neural networks; Computer science; machine learning; feature matching

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APA (6th Edition):

Altwaijry, H. A. S. (2017). LEARNING TO MATCH IMAGES WITH KEYPOINTS AND DESCRIPTORS. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/51552

Chicago Manual of Style (16th Edition):

Altwaijry, Hani Abdulaziz S. “LEARNING TO MATCH IMAGES WITH KEYPOINTS AND DESCRIPTORS.” 2017. Doctoral Dissertation, Cornell University. Accessed October 21, 2020. http://hdl.handle.net/1813/51552.

MLA Handbook (7th Edition):

Altwaijry, Hani Abdulaziz S. “LEARNING TO MATCH IMAGES WITH KEYPOINTS AND DESCRIPTORS.” 2017. Web. 21 Oct 2020.

Vancouver:

Altwaijry HAS. LEARNING TO MATCH IMAGES WITH KEYPOINTS AND DESCRIPTORS. [Internet] [Doctoral dissertation]. Cornell University; 2017. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1813/51552.

Council of Science Editors:

Altwaijry HAS. LEARNING TO MATCH IMAGES WITH KEYPOINTS AND DESCRIPTORS. [Doctoral Dissertation]. Cornell University; 2017. Available from: http://hdl.handle.net/1813/51552


University of Tennessee – Knoxville

7. Hao, Wei. Wide Baseline Stereo Image Rectification and Matching.

Degree: 2011, University of Tennessee – Knoxville

 Perception of depth information is central to three-dimensional (3D) vision problems. Stereopsis is an important passive vision technique for depth perception. Wide baseline stereo is… (more)

Subjects/Keywords: stereo matching; image rectification; wide baseline; computer vision; feature matching; Electrical and Computer Engineering

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APA (6th Edition):

Hao, W. (2011). Wide Baseline Stereo Image Rectification and Matching. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/1186

Chicago Manual of Style (16th Edition):

Hao, Wei. “Wide Baseline Stereo Image Rectification and Matching.” 2011. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed October 21, 2020. https://trace.tennessee.edu/utk_graddiss/1186.

MLA Handbook (7th Edition):

Hao, Wei. “Wide Baseline Stereo Image Rectification and Matching.” 2011. Web. 21 Oct 2020.

Vancouver:

Hao W. Wide Baseline Stereo Image Rectification and Matching. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2011. [cited 2020 Oct 21]. Available from: https://trace.tennessee.edu/utk_graddiss/1186.

Council of Science Editors:

Hao W. Wide Baseline Stereo Image Rectification and Matching. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2011. Available from: https://trace.tennessee.edu/utk_graddiss/1186


Brigham Young University

8. Fowers, Spencer G. Limited Resource Feature Detection, Description, and Matching.

Degree: PhD, 2012, Brigham Young University

 The aims of this research work are to develop a feature detection, description, and matching system for low-resource applications. This work was motivated by the… (more)

Subjects/Keywords: feature detection; feature description; feature matching; low-resource; limited-resource; FPGA; computer vision; Electrical and Computer Engineering

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

APA (6th Edition):

Fowers, S. G. (2012). Limited Resource Feature Detection, Description, and Matching. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4206&context=etd

Chicago Manual of Style (16th Edition):

Fowers, Spencer G. “Limited Resource Feature Detection, Description, and Matching.” 2012. Doctoral Dissertation, Brigham Young University. Accessed October 21, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4206&context=etd.

MLA Handbook (7th Edition):

Fowers, Spencer G. “Limited Resource Feature Detection, Description, and Matching.” 2012. Web. 21 Oct 2020.

Vancouver:

Fowers SG. Limited Resource Feature Detection, Description, and Matching. [Internet] [Doctoral dissertation]. Brigham Young University; 2012. [cited 2020 Oct 21]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4206&context=etd.

Council of Science Editors:

Fowers SG. Limited Resource Feature Detection, Description, and Matching. [Doctoral Dissertation]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4206&context=etd


Lehigh University

9. Li, Hongsheng. Mathematical Models for Object Matching and Their Application to Computer Vision and Biomedical Imaging.

Degree: PhD, Computer Science, 2012, Lehigh University

Subjects/Keywords: Feature Matching; Object Matching; Shape Matching; Computer Sciences

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APA (6th Edition):

Li, H. (2012). Mathematical Models for Object Matching and Their Application to Computer Vision and Biomedical Imaging. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/1241

Chicago Manual of Style (16th Edition):

Li, Hongsheng. “Mathematical Models for Object Matching and Their Application to Computer Vision and Biomedical Imaging.” 2012. Doctoral Dissertation, Lehigh University. Accessed October 21, 2020. https://preserve.lehigh.edu/etd/1241.

MLA Handbook (7th Edition):

Li, Hongsheng. “Mathematical Models for Object Matching and Their Application to Computer Vision and Biomedical Imaging.” 2012. Web. 21 Oct 2020.

Vancouver:

Li H. Mathematical Models for Object Matching and Their Application to Computer Vision and Biomedical Imaging. [Internet] [Doctoral dissertation]. Lehigh University; 2012. [cited 2020 Oct 21]. Available from: https://preserve.lehigh.edu/etd/1241.

Council of Science Editors:

Li H. Mathematical Models for Object Matching and Their Application to Computer Vision and Biomedical Imaging. [Doctoral Dissertation]. Lehigh University; 2012. Available from: https://preserve.lehigh.edu/etd/1241


NSYSU

10. Wu, Yi-Fan. Pedestrian Identification, Tracking and Counting in Video Images.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2016, NSYSU

 Abstract Pedestrian counting is a way to apply object detection and tracking technology to count the number of pedestrians who enter the area of interest… (more)

Subjects/Keywords: HOG feature; Background update; Machine vision; Kalman filter; BLOB matching method

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APA (6th Edition):

Wu, Y. (2016). Pedestrian Identification, Tracking and Counting in Video Images. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620116-210441

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):

Wu, Yi-Fan. “Pedestrian Identification, Tracking and Counting in Video Images.” 2016. Thesis, NSYSU. Accessed October 21, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620116-210441.

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

MLA Handbook (7th Edition):

Wu, Yi-Fan. “Pedestrian Identification, Tracking and Counting in Video Images.” 2016. Web. 21 Oct 2020.

Vancouver:

Wu Y. Pedestrian Identification, Tracking and Counting in Video Images. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Oct 21]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620116-210441.

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

Council of Science Editors:

Wu Y. Pedestrian Identification, Tracking and Counting in Video Images. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0620116-210441

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


North Carolina State University

11. Krish, Karthik. An Accumulative Framework for Object Recognition.

Degree: PhD, Electrical Engineering, 2009, North Carolina State University

 Object recognition has received a lot of attention over the years and has reached a level where we have a lot of algorithms which can… (more)

Subjects/Keywords: object recognition; shape recognition; accumulator-based methods; local feature matching

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APA (6th Edition):

Krish, K. (2009). An Accumulative Framework for Object Recognition. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4897

Chicago Manual of Style (16th Edition):

Krish, Karthik. “An Accumulative Framework for Object Recognition.” 2009. Doctoral Dissertation, North Carolina State University. Accessed October 21, 2020. http://www.lib.ncsu.edu/resolver/1840.16/4897.

MLA Handbook (7th Edition):

Krish, Karthik. “An Accumulative Framework for Object Recognition.” 2009. Web. 21 Oct 2020.

Vancouver:

Krish K. An Accumulative Framework for Object Recognition. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2020 Oct 21]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4897.

Council of Science Editors:

Krish K. An Accumulative Framework for Object Recognition. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4897


Halmstad University

12. Farzaneh, Sara. Comparison of Salient Feature Descriptors.

Degree: Computer and Electrical Engineering (IDE), 2008, Halmstad University

  In robot navigation, and image content searches reliable salient features are of pivotal importance. Also in biometric human recognition, salient features are increasingly used.… (more)

Subjects/Keywords: Salient Feature; image matching

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APA (6th Edition):

Farzaneh, S. (2008). Comparison of Salient Feature Descriptors. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1145

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):

Farzaneh, Sara. “Comparison of Salient Feature Descriptors.” 2008. Thesis, Halmstad University. Accessed October 21, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1145.

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

MLA Handbook (7th Edition):

Farzaneh, Sara. “Comparison of Salient Feature Descriptors.” 2008. Web. 21 Oct 2020.

Vancouver:

Farzaneh S. Comparison of Salient Feature Descriptors. [Internet] [Thesis]. Halmstad University; 2008. [cited 2020 Oct 21]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1145.

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

Council of Science Editors:

Farzaneh S. Comparison of Salient Feature Descriptors. [Thesis]. Halmstad University; 2008. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-1145

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


George Mason University

13. Wang, Caixia. Spatial Content-Based Scene Matching Using a Relaxation Method .

Degree: 2011, George Mason University

 Scene matching is a fundamental task for a variety of geospatial analysis applications. As we move towards multi-source data analysis, constantly increasing amounts of generated… (more)

Subjects/Keywords: Similarity; Scene Matching; Graph; Road Network; Imagery; Feature

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APA (6th Edition):

Wang, C. (2011). Spatial Content-Based Scene Matching Using a Relaxation Method . (Thesis). George Mason University. Retrieved from http://hdl.handle.net/1920/6357

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):

Wang, Caixia. “Spatial Content-Based Scene Matching Using a Relaxation Method .” 2011. Thesis, George Mason University. Accessed October 21, 2020. http://hdl.handle.net/1920/6357.

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

MLA Handbook (7th Edition):

Wang, Caixia. “Spatial Content-Based Scene Matching Using a Relaxation Method .” 2011. Web. 21 Oct 2020.

Vancouver:

Wang C. Spatial Content-Based Scene Matching Using a Relaxation Method . [Internet] [Thesis]. George Mason University; 2011. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1920/6357.

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

Council of Science Editors:

Wang C. Spatial Content-Based Scene Matching Using a Relaxation Method . [Thesis]. George Mason University; 2011. Available from: http://hdl.handle.net/1920/6357

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


Rice University

14. Bader, Nolan A. Autonomous Vision Navigation of Spacecraft in Lunar Orbit.

Degree: MS, Engineering, 2016, Rice University

 NASA aims to achieve unprecedented navigational reliability for the first manned lunar mission of the Orion spacecraft in 2023. A technique for accomplishing this is… (more)

Subjects/Keywords: vision; navigation; lunar; linear covariance; feature tracking; template matching; orion

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APA (6th Edition):

Bader, N. A. (2016). Autonomous Vision Navigation of Spacecraft in Lunar Orbit. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/96609

Chicago Manual of Style (16th Edition):

Bader, Nolan A. “Autonomous Vision Navigation of Spacecraft in Lunar Orbit.” 2016. Masters Thesis, Rice University. Accessed October 21, 2020. http://hdl.handle.net/1911/96609.

MLA Handbook (7th Edition):

Bader, Nolan A. “Autonomous Vision Navigation of Spacecraft in Lunar Orbit.” 2016. Web. 21 Oct 2020.

Vancouver:

Bader NA. Autonomous Vision Navigation of Spacecraft in Lunar Orbit. [Internet] [Masters thesis]. Rice University; 2016. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/1911/96609.

Council of Science Editors:

Bader NA. Autonomous Vision Navigation of Spacecraft in Lunar Orbit. [Masters Thesis]. Rice University; 2016. Available from: http://hdl.handle.net/1911/96609


University of Canterbury

15. Duncan, Stuart Johann Maxwell. Visual control of multi-rotor UAVs.

Degree: M. Eng., Electrical Engineering, 2014, University of Canterbury

 Recent miniaturization of computer hardware, MEMs sensors, and high energy density batteries have enabled highly capable mobile robots to become available at low cost. This… (more)

Subjects/Keywords: computer vision; opencv; quadrotor; uav; multirotor; feature matching; ransac

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APA (6th Edition):

Duncan, S. J. M. (2014). Visual control of multi-rotor UAVs. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/3536

Chicago Manual of Style (16th Edition):

Duncan, Stuart Johann Maxwell. “Visual control of multi-rotor UAVs.” 2014. Masters Thesis, University of Canterbury. Accessed October 21, 2020. http://dx.doi.org/10.26021/3536.

MLA Handbook (7th Edition):

Duncan, Stuart Johann Maxwell. “Visual control of multi-rotor UAVs.” 2014. Web. 21 Oct 2020.

Vancouver:

Duncan SJM. Visual control of multi-rotor UAVs. [Internet] [Masters thesis]. University of Canterbury; 2014. [cited 2020 Oct 21]. Available from: http://dx.doi.org/10.26021/3536.

Council of Science Editors:

Duncan SJM. Visual control of multi-rotor UAVs. [Masters Thesis]. University of Canterbury; 2014. Available from: http://dx.doi.org/10.26021/3536


University of New South Wales

16. Zhang, Beihua. Visual matching and tracking of humans in multiple cameras.

Degree: Computer Science & Engineering, 2014, University of New South Wales

 Multiple camera systems may be divided into multiple overlapping and non-overlapping camera systems. Both are widely used for image and video analysis tasks, object analysis,… (more)

Subjects/Keywords: Human tracking; Multiple cameras; Human matching; Feature point pairs

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APA (6th Edition):

Zhang, B. (2014). Visual matching and tracking of humans in multiple cameras. (Masters Thesis). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/54459 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34997/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Zhang, Beihua. “Visual matching and tracking of humans in multiple cameras.” 2014. Masters Thesis, University of New South Wales. Accessed October 21, 2020. http://handle.unsw.edu.au/1959.4/54459 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34997/SOURCE02?view=true.

MLA Handbook (7th Edition):

Zhang, Beihua. “Visual matching and tracking of humans in multiple cameras.” 2014. Web. 21 Oct 2020.

Vancouver:

Zhang B. Visual matching and tracking of humans in multiple cameras. [Internet] [Masters thesis]. University of New South Wales; 2014. [cited 2020 Oct 21]. Available from: http://handle.unsw.edu.au/1959.4/54459 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34997/SOURCE02?view=true.

Council of Science Editors:

Zhang B. Visual matching and tracking of humans in multiple cameras. [Masters Thesis]. University of New South Wales; 2014. Available from: http://handle.unsw.edu.au/1959.4/54459 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:34997/SOURCE02?view=true


University of Georgia

17. Chen, Feng. Similarity analysis of video sequences using an artificial neural network.

Degree: 2014, University of Georgia

 Comparison of video sequences is an important operation in many multimedia information systems. The similarity measure for comparison is based on some measure of correlation… (more)

Subjects/Keywords: Video similarity; Similarity matching; Video shot; Mosaic image; Key frame; Individual feature; Feature combination; Artificial neural network.

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APA (6th Edition):

Chen, F. (2014). Similarity analysis of video sequences using an artificial neural network. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/20744

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):

Chen, Feng. “Similarity analysis of video sequences using an artificial neural network.” 2014. Thesis, University of Georgia. Accessed October 21, 2020. http://hdl.handle.net/10724/20744.

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

MLA Handbook (7th Edition):

Chen, Feng. “Similarity analysis of video sequences using an artificial neural network.” 2014. Web. 21 Oct 2020.

Vancouver:

Chen F. Similarity analysis of video sequences using an artificial neural network. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/10724/20744.

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

Council of Science Editors:

Chen F. Similarity analysis of video sequences using an artificial neural network. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/20744

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


Brigham Young University

18. Hartman, Garrett Sean. Real-Time Color TreeBASIS Feature Matching on a Limited-Resource Hardware System.

Degree: MS, 2013, Brigham Young University

 This research has been conducted in order to create a robust, lightweight feature detecting and matching algorithm that builds upon the foundation set by the… (more)

Subjects/Keywords: feature detection; feature matching; low-resource; limited-resource; FPGA; computer vision; TreeBASIS; color; hardware; Electrical and Computer Engineering

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APA (6th Edition):

Hartman, G. S. (2013). Real-Time Color TreeBASIS Feature Matching on a Limited-Resource Hardware System. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5001&context=etd

Chicago Manual of Style (16th Edition):

Hartman, Garrett Sean. “Real-Time Color TreeBASIS Feature Matching on a Limited-Resource Hardware System.” 2013. Masters Thesis, Brigham Young University. Accessed October 21, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5001&context=etd.

MLA Handbook (7th Edition):

Hartman, Garrett Sean. “Real-Time Color TreeBASIS Feature Matching on a Limited-Resource Hardware System.” 2013. Web. 21 Oct 2020.

Vancouver:

Hartman GS. Real-Time Color TreeBASIS Feature Matching on a Limited-Resource Hardware System. [Internet] [Masters thesis]. Brigham Young University; 2013. [cited 2020 Oct 21]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5001&context=etd.

Council of Science Editors:

Hartman GS. Real-Time Color TreeBASIS Feature Matching on a Limited-Resource Hardware System. [Masters Thesis]. Brigham Young University; 2013. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=5001&context=etd


University of Wollongong

19. Cao, Yi. Ensuring the quality of experience for mobile augmented visual search applications: Fast, low bitrate and high accuracy.

Degree: PhD, 2015, University of Wollongong

  The explosive growth of advanced smart devices, such as smart phones equipped with a high resolution camera, touch-screen, Wi-Fi and advanced multimedia functionalities, is… (more)

Subjects/Keywords: Mobile augmented visual search; feature extraction; feature selection; low bit rate transmission; high matching accuracy; qoe estimation

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APA (6th Edition):

Cao, Y. (2015). Ensuring the quality of experience for mobile augmented visual search applications: Fast, low bitrate and high accuracy. (Doctoral Dissertation). University of Wollongong. Retrieved from 090609 Signal Processing, 080608 Information Systems Development Methodologies ; https://ro.uow.edu.au/theses/4523

Chicago Manual of Style (16th Edition):

Cao, Yi. “Ensuring the quality of experience for mobile augmented visual search applications: Fast, low bitrate and high accuracy.” 2015. Doctoral Dissertation, University of Wollongong. Accessed October 21, 2020. 090609 Signal Processing, 080608 Information Systems Development Methodologies ; https://ro.uow.edu.au/theses/4523.

MLA Handbook (7th Edition):

Cao, Yi. “Ensuring the quality of experience for mobile augmented visual search applications: Fast, low bitrate and high accuracy.” 2015. Web. 21 Oct 2020.

Vancouver:

Cao Y. Ensuring the quality of experience for mobile augmented visual search applications: Fast, low bitrate and high accuracy. [Internet] [Doctoral dissertation]. University of Wollongong; 2015. [cited 2020 Oct 21]. Available from: 090609 Signal Processing, 080608 Information Systems Development Methodologies ; https://ro.uow.edu.au/theses/4523.

Council of Science Editors:

Cao Y. Ensuring the quality of experience for mobile augmented visual search applications: Fast, low bitrate and high accuracy. [Doctoral Dissertation]. University of Wollongong; 2015. Available from: 090609 Signal Processing, 080608 Information Systems Development Methodologies ; https://ro.uow.edu.au/theses/4523

20. Cremer, Sandra. Adapting iris feature extraction and matching to the local and global quality of iris image : Comparaison des personnes par l'iris : adaptation des étapes d'extraction de caractéristiques et de comparaison à la qualité locale et globale des images d'entrées.

Degree: Docteur es, Informatique, 2012, Evry, Institut national des télécommunications

La reconnaissance d'iris est un des systèmes biométriques les plus fiables et les plus précis. Cependant sa robustesse aux dégradations des images d'entrées est limitée.… (more)

Subjects/Keywords: Iris; Extraction de caractéristiques; Comparaison; Qualité d'image; Biométrique; Iris; Feature extraction; Matching; Image quality; Biometrics

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APA (6th Edition):

Cremer, S. (2012). Adapting iris feature extraction and matching to the local and global quality of iris image : Comparaison des personnes par l'iris : adaptation des étapes d'extraction de caractéristiques et de comparaison à la qualité locale et globale des images d'entrées. (Doctoral Dissertation). Evry, Institut national des télécommunications. Retrieved from http://www.theses.fr/2012TELE0026

Chicago Manual of Style (16th Edition):

Cremer, Sandra. “Adapting iris feature extraction and matching to the local and global quality of iris image : Comparaison des personnes par l'iris : adaptation des étapes d'extraction de caractéristiques et de comparaison à la qualité locale et globale des images d'entrées.” 2012. Doctoral Dissertation, Evry, Institut national des télécommunications. Accessed October 21, 2020. http://www.theses.fr/2012TELE0026.

MLA Handbook (7th Edition):

Cremer, Sandra. “Adapting iris feature extraction and matching to the local and global quality of iris image : Comparaison des personnes par l'iris : adaptation des étapes d'extraction de caractéristiques et de comparaison à la qualité locale et globale des images d'entrées.” 2012. Web. 21 Oct 2020.

Vancouver:

Cremer S. Adapting iris feature extraction and matching to the local and global quality of iris image : Comparaison des personnes par l'iris : adaptation des étapes d'extraction de caractéristiques et de comparaison à la qualité locale et globale des images d'entrées. [Internet] [Doctoral dissertation]. Evry, Institut national des télécommunications; 2012. [cited 2020 Oct 21]. Available from: http://www.theses.fr/2012TELE0026.

Council of Science Editors:

Cremer S. Adapting iris feature extraction and matching to the local and global quality of iris image : Comparaison des personnes par l'iris : adaptation des étapes d'extraction de caractéristiques et de comparaison à la qualité locale et globale des images d'entrées. [Doctoral Dissertation]. Evry, Institut national des télécommunications; 2012. Available from: http://www.theses.fr/2012TELE0026


University of Colorado

21. Perkins, Elizabeth J. Effects of Building Features on Seismic Performance.

Degree: MS, 2011, University of Colorado

  Often building decision-makers make decisions regarding the seismic risk to existing buildings, sometimes considering the effect of specific building features, such as geometric irregularities.… (more)

Subjects/Keywords: building feature; building inventory; earthquake; moment matching; seismic; seismic risk; Applied Statistics; Civil Engineering; Engineering

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APA (6th Edition):

Perkins, E. J. (2011). Effects of Building Features on Seismic Performance. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/340

Chicago Manual of Style (16th Edition):

Perkins, Elizabeth J. “Effects of Building Features on Seismic Performance.” 2011. Masters Thesis, University of Colorado. Accessed October 21, 2020. https://scholar.colorado.edu/cven_gradetds/340.

MLA Handbook (7th Edition):

Perkins, Elizabeth J. “Effects of Building Features on Seismic Performance.” 2011. Web. 21 Oct 2020.

Vancouver:

Perkins EJ. Effects of Building Features on Seismic Performance. [Internet] [Masters thesis]. University of Colorado; 2011. [cited 2020 Oct 21]. Available from: https://scholar.colorado.edu/cven_gradetds/340.

Council of Science Editors:

Perkins EJ. Effects of Building Features on Seismic Performance. [Masters Thesis]. University of Colorado; 2011. Available from: https://scholar.colorado.edu/cven_gradetds/340


Delft University of Technology

22. Maris, C.M. (author). Distance-based Parameterisation and History Matching.

Degree: 2009, Delft University of Technology

The aim of this work is to use a distance-based ensemble representation of the uncertainty in a reservoir model in order to map the problem… (more)

Subjects/Keywords: history-matching; distance-based; feature-space

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APA (6th Edition):

Maris, C. M. (. (2009). Distance-based Parameterisation and History Matching. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2cb210c7-4101-4fac-a82d-333fc0b8e0e8

Chicago Manual of Style (16th Edition):

Maris, C M (author). “Distance-based Parameterisation and History Matching.” 2009. Masters Thesis, Delft University of Technology. Accessed October 21, 2020. http://resolver.tudelft.nl/uuid:2cb210c7-4101-4fac-a82d-333fc0b8e0e8.

MLA Handbook (7th Edition):

Maris, C M (author). “Distance-based Parameterisation and History Matching.” 2009. Web. 21 Oct 2020.

Vancouver:

Maris CM(. Distance-based Parameterisation and History Matching. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2020 Oct 21]. Available from: http://resolver.tudelft.nl/uuid:2cb210c7-4101-4fac-a82d-333fc0b8e0e8.

Council of Science Editors:

Maris CM(. Distance-based Parameterisation and History Matching. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:2cb210c7-4101-4fac-a82d-333fc0b8e0e8


Virginia Tech

23. Kumar, Prashant. Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System.

Degree: MS, Computer Engineering, 2018, Virginia Tech

 This thesis presents online 3D reconstruction and ground segmentation using unmanned aerial vehicle (UAV) based stereo vision. For this purpose, a long baseline stereo vision… (more)

Subjects/Keywords: Stereo Vision System; 3D Reconstruction; Stereo Calibration; Feature Matching; Filtering; Noise Removal

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APA (6th Edition):

Kumar, P. (2018). Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/98009

Chicago Manual of Style (16th Edition):

Kumar, Prashant. “Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System.” 2018. Masters Thesis, Virginia Tech. Accessed October 21, 2020. http://hdl.handle.net/10919/98009.

MLA Handbook (7th Edition):

Kumar, Prashant. “Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System.” 2018. Web. 21 Oct 2020.

Vancouver:

Kumar P. Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/10919/98009.

Council of Science Editors:

Kumar P. Online 3D Reconstruction and Ground Segmentation using Drone based Long Baseline Stereo Vision System. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/98009


Virginia Tech

24. Stefanik, Kevin Vincent. Sequential Motion Estimation and Refinement for Applications of Real-time Reconstruction from Stereo Vision.

Degree: MS, Electrical and Computer Engineering, 2011, Virginia Tech

 This paper presents a new approach to the feature-matching problem for 3D reconstruction by taking advantage of GPS and IMU data, along with a prior… (more)

Subjects/Keywords: feature points; stereo vision; bundle adjustment; matching; UAV; SURF; 3D reconstruction; IRLS; terrain mapping

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APA (6th Edition):

Stefanik, K. V. (2011). Sequential Motion Estimation and Refinement for Applications of Real-time Reconstruction from Stereo Vision. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/76802

Chicago Manual of Style (16th Edition):

Stefanik, Kevin Vincent. “Sequential Motion Estimation and Refinement for Applications of Real-time Reconstruction from Stereo Vision.” 2011. Masters Thesis, Virginia Tech. Accessed October 21, 2020. http://hdl.handle.net/10919/76802.

MLA Handbook (7th Edition):

Stefanik, Kevin Vincent. “Sequential Motion Estimation and Refinement for Applications of Real-time Reconstruction from Stereo Vision.” 2011. Web. 21 Oct 2020.

Vancouver:

Stefanik KV. Sequential Motion Estimation and Refinement for Applications of Real-time Reconstruction from Stereo Vision. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/10919/76802.

Council of Science Editors:

Stefanik KV. Sequential Motion Estimation and Refinement for Applications of Real-time Reconstruction from Stereo Vision. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/76802


Brigham Young University

25. Desai, Alok. An Efficient Feature Descriptor and Its Real-Time Applications.

Degree: PhD, 2015, Brigham Young University

 Finding salient features in an image, and matching them to their corresponding features in another image is an important step for many vision-based applications. Feature(more)

Subjects/Keywords: Feature detection; feature description; feature matching; object tracking; soccer ball game; visual odometry; ego-motion drift reduction; computer vision; Electrical and Computer Engineering

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APA (6th Edition):

Desai, A. (2015). An Efficient Feature Descriptor and Its Real-Time Applications. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6464&context=etd

Chicago Manual of Style (16th Edition):

Desai, Alok. “An Efficient Feature Descriptor and Its Real-Time Applications.” 2015. Doctoral Dissertation, Brigham Young University. Accessed October 21, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6464&context=etd.

MLA Handbook (7th Edition):

Desai, Alok. “An Efficient Feature Descriptor and Its Real-Time Applications.” 2015. Web. 21 Oct 2020.

Vancouver:

Desai A. An Efficient Feature Descriptor and Its Real-Time Applications. [Internet] [Doctoral dissertation]. Brigham Young University; 2015. [cited 2020 Oct 21]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6464&context=etd.

Council of Science Editors:

Desai A. An Efficient Feature Descriptor and Its Real-Time Applications. [Doctoral Dissertation]. Brigham Young University; 2015. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=6464&context=etd


Brno University of Technology

26. Jakubík, Tomáš. Metoda sledování příznaků pro registraci sekvence medicínských obrazů: Feature tracking method for medical images registration.

Degree: 2019, Brno University of Technology

 The aim of this thesis is to familiarize with the issue of registration of medical image sequences. The main objective was to focus on the… (more)

Subjects/Keywords: registrácia obrazov; sledovanie príznakov v obraze; detekcia význačných bodov; párovanie význačných bodov; image registration; feature point tracking; feature point detection; feature point matching

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APA (6th Edition):

Jakubík, T. (2019). Metoda sledování příznaků pro registraci sekvence medicínských obrazů: Feature tracking method for medical images registration. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/12722

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):

Jakubík, Tomáš. “Metoda sledování příznaků pro registraci sekvence medicínských obrazů: Feature tracking method for medical images registration.” 2019. Thesis, Brno University of Technology. Accessed October 21, 2020. http://hdl.handle.net/11012/12722.

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

MLA Handbook (7th Edition):

Jakubík, Tomáš. “Metoda sledování příznaků pro registraci sekvence medicínských obrazů: Feature tracking method for medical images registration.” 2019. Web. 21 Oct 2020.

Vancouver:

Jakubík T. Metoda sledování příznaků pro registraci sekvence medicínských obrazů: Feature tracking method for medical images registration. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/11012/12722.

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

Council of Science Editors:

Jakubík T. Metoda sledování příznaků pro registraci sekvence medicínských obrazů: Feature tracking method for medical images registration. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/12722

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


University of Southern California

27. Chu, Selina. Recognition and characterization of unstructured environmental sounds.

Degree: PhD, Computer Science, 2011, University of Southern California

 Environmental sounds are what we hear everyday, or more generally sounds that surround us – ambient or background audio. Human utilize both vision and hearing… (more)

Subjects/Keywords: unstructured audio classification; auditory scene recognition; environmental sounds; background modeling; semi-supervised learning; deep belief networks; unsupervised feature learning; generalization; data representation; feature extraction; feature selection; MFCC; matching pursuit

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APA (6th Edition):

Chu, S. (2011). Recognition and characterization of unstructured environmental sounds. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477025/rec/5447

Chicago Manual of Style (16th Edition):

Chu, Selina. “Recognition and characterization of unstructured environmental sounds.” 2011. Doctoral Dissertation, University of Southern California. Accessed October 21, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477025/rec/5447.

MLA Handbook (7th Edition):

Chu, Selina. “Recognition and characterization of unstructured environmental sounds.” 2011. Web. 21 Oct 2020.

Vancouver:

Chu S. Recognition and characterization of unstructured environmental sounds. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Oct 21]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477025/rec/5447.

Council of Science Editors:

Chu S. Recognition and characterization of unstructured environmental sounds. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/477025/rec/5447


Brno University of Technology

28. Krym, David. Skládání obrazů a videosekvencí: Merging of Images and Video Sequences.

Degree: 2019, Brno University of Technology

 This bachelor thesis deals with image and video sequence frames stitching when the camera undergoes a pure rotation. It involves design and implementation of application… (more)

Subjects/Keywords: panorama; spojování obrazů; klíčové body; hledání korespondencí; ORB; SURF; homografie; RANSAC; vyrovnání svazku; panorama; image stitching; feature points; feature matching; ORB; SURF; homography; RANSAC; bundle adjustment

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APA (6th Edition):

Krym, D. (2019). Skládání obrazů a videosekvencí: Merging of Images and Video Sequences. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55223

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):

Krym, David. “Skládání obrazů a videosekvencí: Merging of Images and Video Sequences.” 2019. Thesis, Brno University of Technology. Accessed October 21, 2020. http://hdl.handle.net/11012/55223.

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

MLA Handbook (7th Edition):

Krym, David. “Skládání obrazů a videosekvencí: Merging of Images and Video Sequences.” 2019. Web. 21 Oct 2020.

Vancouver:

Krym D. Skládání obrazů a videosekvencí: Merging of Images and Video Sequences. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/11012/55223.

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

Council of Science Editors:

Krym D. Skládání obrazů a videosekvencí: Merging of Images and Video Sequences. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/55223

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


York University

29. Qin, Shanshan. Statistical Methods for Complex and/or High Dimensional Data.

Degree: PhD, Mathematics & Statistics, 2020, York University

 This dissertation focuses on the development and implementation of statistical methods for high-dimensional and/or complex data, with an emphasis on p, the number of explanatory… (more)

Subjects/Keywords: Statistics; coordinate descent; cross-validation; difference convex programming; double leave-one-out; feature grouping; feature selection; high-dimensional; matching quantiles; M-estimation; multivariate regression; non-negative constraint; outlier observations; regularization

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APA (6th Edition):

Qin, S. (2020). Statistical Methods for Complex and/or High Dimensional Data. (Doctoral Dissertation). York University. Retrieved from http://hdl.handle.net/10315/37706

Chicago Manual of Style (16th Edition):

Qin, Shanshan. “Statistical Methods for Complex and/or High Dimensional Data.” 2020. Doctoral Dissertation, York University. Accessed October 21, 2020. http://hdl.handle.net/10315/37706.

MLA Handbook (7th Edition):

Qin, Shanshan. “Statistical Methods for Complex and/or High Dimensional Data.” 2020. Web. 21 Oct 2020.

Vancouver:

Qin S. Statistical Methods for Complex and/or High Dimensional Data. [Internet] [Doctoral dissertation]. York University; 2020. [cited 2020 Oct 21]. Available from: http://hdl.handle.net/10315/37706.

Council of Science Editors:

Qin S. Statistical Methods for Complex and/or High Dimensional Data. [Doctoral Dissertation]. York University; 2020. Available from: http://hdl.handle.net/10315/37706

30. Lin, Baowei. Change Detection of 3D Scene with 3D and 2D Information for Environment Checking : 3次元と2次元の情報を用いた環境検査のための3次元変化検出手法.

Degree: 博士(工学), 2013, Hiroshima University / 広島大学

 Recent surveillance technology developments motivate a regular observation of places such as coast, slopes and highways, where disasters and accidents can happen with high probability.… (more)

Subjects/Keywords: Change Detection; Surveillance System; Online Approach; Offline Approach; 3D-2D; 3D-3D; Feature Matching; Camera Pose Estimation; Scale Ratio ICP

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APA (6th Edition):

Lin, B. (2013). Change Detection of 3D Scene with 3D and 2D Information for Environment Checking : 3次元と2次元の情報を用いた環境検査のための3次元変化検出手法. (Thesis). Hiroshima University / 広島大学. Retrieved from http://ir.lib.hiroshima-u.ac.jp/00035116

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):

Lin, Baowei. “Change Detection of 3D Scene with 3D and 2D Information for Environment Checking : 3次元と2次元の情報を用いた環境検査のための3次元変化検出手法.” 2013. Thesis, Hiroshima University / 広島大学. Accessed October 21, 2020. http://ir.lib.hiroshima-u.ac.jp/00035116.

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

MLA Handbook (7th Edition):

Lin, Baowei. “Change Detection of 3D Scene with 3D and 2D Information for Environment Checking : 3次元と2次元の情報を用いた環境検査のための3次元変化検出手法.” 2013. Web. 21 Oct 2020.

Vancouver:

Lin B. Change Detection of 3D Scene with 3D and 2D Information for Environment Checking : 3次元と2次元の情報を用いた環境検査のための3次元変化検出手法. [Internet] [Thesis]. Hiroshima University / 広島大学; 2013. [cited 2020 Oct 21]. Available from: http://ir.lib.hiroshima-u.ac.jp/00035116.

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

Council of Science Editors:

Lin B. Change Detection of 3D Scene with 3D and 2D Information for Environment Checking : 3次元と2次元の情報を用いた環境検査のための3次元変化検出手法. [Thesis]. Hiroshima University / 広島大学; 2013. Available from: http://ir.lib.hiroshima-u.ac.jp/00035116

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

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