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Degree: MS

You searched for subject:(Computer Vision). Showing records 1 – 30 of 327 total matches.

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Oregon State University

1. Amer, Mohamed R. Recognizing human group activities in video through mining optimal features.

Degree: MS, Electrical and Computer Engineering, 2011, Oregon State University

 Given a video, we would like to recognize group activities, localize video parts where these activities occur, and detect actors involved in them. To this… (more)

Subjects/Keywords: Computer Vision

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APA (6th Edition):

Amer, M. R. (2011). Recognizing human group activities in video through mining optimal features. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/21793

Chicago Manual of Style (16th Edition):

Amer, Mohamed R. “Recognizing human group activities in video through mining optimal features.” 2011. Masters Thesis, Oregon State University. Accessed July 23, 2019. http://hdl.handle.net/1957/21793.

MLA Handbook (7th Edition):

Amer, Mohamed R. “Recognizing human group activities in video through mining optimal features.” 2011. Web. 23 Jul 2019.

Vancouver:

Amer MR. Recognizing human group activities in video through mining optimal features. [Internet] [Masters thesis]. Oregon State University; 2011. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1957/21793.

Council of Science Editors:

Amer MR. Recognizing human group activities in video through mining optimal features. [Masters Thesis]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/21793


California State Polytechnic University – Pomona

2. Hsu, Yu-Ching. Object Detection Through Image Processing for Unmanned Aerial Vehicles.

Degree: MS, Department of Computer Sciences, 2018, California State Polytechnic University – Pomona

 An Unmanned Aerial Vehicles (UAV) is an aircraft operated without a human pilot aboard and comes with the ability to fly to the desired locations… (more)

Subjects/Keywords: computer vision

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APA (6th Edition):

Hsu, Y. (2018). Object Detection Through Image Processing for Unmanned Aerial Vehicles. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/206495

Chicago Manual of Style (16th Edition):

Hsu, Yu-Ching. “Object Detection Through Image Processing for Unmanned Aerial Vehicles.” 2018. Masters Thesis, California State Polytechnic University – Pomona. Accessed July 23, 2019. http://hdl.handle.net/10211.3/206495.

MLA Handbook (7th Edition):

Hsu, Yu-Ching. “Object Detection Through Image Processing for Unmanned Aerial Vehicles.” 2018. Web. 23 Jul 2019.

Vancouver:

Hsu Y. Object Detection Through Image Processing for Unmanned Aerial Vehicles. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10211.3/206495.

Council of Science Editors:

Hsu Y. Object Detection Through Image Processing for Unmanned Aerial Vehicles. [Masters Thesis]. California State Polytechnic University – Pomona; 2018. Available from: http://hdl.handle.net/10211.3/206495


Oregon State University

3. Inouye, Jennifer A. Analysis of bio-based composites for image segmentation with the aid of games.

Degree: MS, Computer Science, 2012, Oregon State University

 A fundamental problem in computer vision is to partition an image into meaningful segments. While image segmentation is required by many applications, the thesis focuses… (more)

Subjects/Keywords: Computer; Computer vision

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APA (6th Edition):

Inouye, J. A. (2012). Analysis of bio-based composites for image segmentation with the aid of games. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/29507

Chicago Manual of Style (16th Edition):

Inouye, Jennifer A. “Analysis of bio-based composites for image segmentation with the aid of games.” 2012. Masters Thesis, Oregon State University. Accessed July 23, 2019. http://hdl.handle.net/1957/29507.

MLA Handbook (7th Edition):

Inouye, Jennifer A. “Analysis of bio-based composites for image segmentation with the aid of games.” 2012. Web. 23 Jul 2019.

Vancouver:

Inouye JA. Analysis of bio-based composites for image segmentation with the aid of games. [Internet] [Masters thesis]. Oregon State University; 2012. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1957/29507.

Council of Science Editors:

Inouye JA. Analysis of bio-based composites for image segmentation with the aid of games. [Masters Thesis]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/29507


Oregon State University

4. Harmon, Paul L. (Paul Lucas). Comprehensive Characterization of Motion of a Helical Coil Due to Flow Induced Vibration.

Degree: MS, Nuclear Engineering, 2015, Oregon State University

 Mechanical vibrations compromise the integrity of key components of thermal power plants. Without careful design, strong resonances during steady state operation can wear these components… (more)

Subjects/Keywords: Helix; Computer vision

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APA (6th Edition):

Harmon, P. L. (. L. (2015). Comprehensive Characterization of Motion of a Helical Coil Due to Flow Induced Vibration. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/56378

Chicago Manual of Style (16th Edition):

Harmon, Paul L (Paul Lucas). “Comprehensive Characterization of Motion of a Helical Coil Due to Flow Induced Vibration.” 2015. Masters Thesis, Oregon State University. Accessed July 23, 2019. http://hdl.handle.net/1957/56378.

MLA Handbook (7th Edition):

Harmon, Paul L (Paul Lucas). “Comprehensive Characterization of Motion of a Helical Coil Due to Flow Induced Vibration.” 2015. Web. 23 Jul 2019.

Vancouver:

Harmon PL(L. Comprehensive Characterization of Motion of a Helical Coil Due to Flow Induced Vibration. [Internet] [Masters thesis]. Oregon State University; 2015. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1957/56378.

Council of Science Editors:

Harmon PL(L. Comprehensive Characterization of Motion of a Helical Coil Due to Flow Induced Vibration. [Masters Thesis]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/56378


Penn State University

5. Smith, Brigid Louise. improving object recognition performance through semantic context extraction.

Degree: MS, Computer Science and Engineering, 2015, Penn State University

 Machine vision is a computationally expensive problem with an exceptionally large number of real-world applications. With the rise of the Internet of Things and the… (more)

Subjects/Keywords: computer vision; machine vision; vision; image processing; context

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APA (6th Edition):

Smith, B. L. (2015). improving object recognition performance through semantic context extraction. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/24969

Chicago Manual of Style (16th Edition):

Smith, Brigid Louise. “improving object recognition performance through semantic context extraction.” 2015. Masters Thesis, Penn State University. Accessed July 23, 2019. https://etda.libraries.psu.edu/catalog/24969.

MLA Handbook (7th Edition):

Smith, Brigid Louise. “improving object recognition performance through semantic context extraction.” 2015. Web. 23 Jul 2019.

Vancouver:

Smith BL. improving object recognition performance through semantic context extraction. [Internet] [Masters thesis]. Penn State University; 2015. [cited 2019 Jul 23]. Available from: https://etda.libraries.psu.edu/catalog/24969.

Council of Science Editors:

Smith BL. improving object recognition performance through semantic context extraction. [Masters Thesis]. Penn State University; 2015. Available from: https://etda.libraries.psu.edu/catalog/24969


University of Georgia

6. Tang, Yarong. Computer vision-based reconstructive plastic surgery.

Degree: MS, Artificial Intelligence, 2003, University of Georgia

 High energy traumatic impact of the craniofacial skeleton is an inevitable consequence of today’s fast paced society. The work in the thesis leverages recent advances… (more)

Subjects/Keywords: Computer Vision

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APA (6th Edition):

Tang, Y. (2003). Computer vision-based reconstructive plastic surgery. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/tang_yarong_200312_ms

Chicago Manual of Style (16th Edition):

Tang, Yarong. “Computer vision-based reconstructive plastic surgery.” 2003. Masters Thesis, University of Georgia. Accessed July 23, 2019. http://purl.galileo.usg.edu/uga_etd/tang_yarong_200312_ms.

MLA Handbook (7th Edition):

Tang, Yarong. “Computer vision-based reconstructive plastic surgery.” 2003. Web. 23 Jul 2019.

Vancouver:

Tang Y. Computer vision-based reconstructive plastic surgery. [Internet] [Masters thesis]. University of Georgia; 2003. [cited 2019 Jul 23]. Available from: http://purl.galileo.usg.edu/uga_etd/tang_yarong_200312_ms.

Council of Science Editors:

Tang Y. Computer vision-based reconstructive plastic surgery. [Masters Thesis]. University of Georgia; 2003. Available from: http://purl.galileo.usg.edu/uga_etd/tang_yarong_200312_ms


University of Alberta

7. Metcalf, Adam. Pinball: High-Speed Real-Time Tracking and Playing.

Degree: MS, Department of Computing Science, 2011, University of Alberta

 Pinball is fast-paced arcade-style game of which the origins date back hundreds of years. Game playing robots exist for billiards, foosball, and soccer and each… (more)

Subjects/Keywords: Artificial Intelligence; Computer Vision; Pinball

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APA (6th Edition):

Metcalf, A. (2011). Pinball: High-Speed Real-Time Tracking and Playing. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/js956h040

Chicago Manual of Style (16th Edition):

Metcalf, Adam. “Pinball: High-Speed Real-Time Tracking and Playing.” 2011. Masters Thesis, University of Alberta. Accessed July 23, 2019. https://era.library.ualberta.ca/files/js956h040.

MLA Handbook (7th Edition):

Metcalf, Adam. “Pinball: High-Speed Real-Time Tracking and Playing.” 2011. Web. 23 Jul 2019.

Vancouver:

Metcalf A. Pinball: High-Speed Real-Time Tracking and Playing. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2019 Jul 23]. Available from: https://era.library.ualberta.ca/files/js956h040.

Council of Science Editors:

Metcalf A. Pinball: High-Speed Real-Time Tracking and Playing. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/js956h040


California State Polytechnic University – Pomona

8. Faust, Jeffrey J. Tracking small falling objects in video.

Degree: MS, Computer Science, 2006, California State Polytechnic University – Pomona

 This thesis identifies falling flowers and leaves in color video sequences of jacaranda trees. The spatial resolution is 320x240 pixels, and the temporal resolution is… (more)

Subjects/Keywords: Computer vision

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APA (6th Edition):

Faust, J. J. (2006). Tracking small falling objects in video. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/99392

Chicago Manual of Style (16th Edition):

Faust, Jeffrey J. “Tracking small falling objects in video.” 2006. Masters Thesis, California State Polytechnic University – Pomona. Accessed July 23, 2019. http://hdl.handle.net/10211.3/99392.

MLA Handbook (7th Edition):

Faust, Jeffrey J. “Tracking small falling objects in video.” 2006. Web. 23 Jul 2019.

Vancouver:

Faust JJ. Tracking small falling objects in video. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2006. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10211.3/99392.

Council of Science Editors:

Faust JJ. Tracking small falling objects in video. [Masters Thesis]. California State Polytechnic University – Pomona; 2006. Available from: http://hdl.handle.net/10211.3/99392


Indiana University of Pennsylvania

9. Gresavage, Thomas. A Neural Networks Approach to Determining Angle and Scale of Partially Occluded Objects.

Degree: MS, Mathematics, 2016, Indiana University of Pennsylvania

  A team of biological researchers wishes to investigate the eating behaviors of local insects to determine whether they prefer indigenous or invasive plant species.… (more)

Subjects/Keywords: computer vision; neural networks; python

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APA (6th Edition):

Gresavage, T. (2016). A Neural Networks Approach to Determining Angle and Scale of Partially Occluded Objects. (Thesis). Indiana University of Pennsylvania. Retrieved from https://knowledge.library.iup.edu/etd/1408

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):

Gresavage, Thomas. “A Neural Networks Approach to Determining Angle and Scale of Partially Occluded Objects.” 2016. Thesis, Indiana University of Pennsylvania. Accessed July 23, 2019. https://knowledge.library.iup.edu/etd/1408.

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

MLA Handbook (7th Edition):

Gresavage, Thomas. “A Neural Networks Approach to Determining Angle and Scale of Partially Occluded Objects.” 2016. Web. 23 Jul 2019.

Vancouver:

Gresavage T. A Neural Networks Approach to Determining Angle and Scale of Partially Occluded Objects. [Internet] [Thesis]. Indiana University of Pennsylvania; 2016. [cited 2019 Jul 23]. Available from: https://knowledge.library.iup.edu/etd/1408.

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

Council of Science Editors:

Gresavage T. A Neural Networks Approach to Determining Angle and Scale of Partially Occluded Objects. [Thesis]. Indiana University of Pennsylvania; 2016. Available from: https://knowledge.library.iup.edu/etd/1408

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


Georgia Tech

10. Dedhia, Vaibhav. Scene flow for autonomous navigation.

Degree: MS, Electrical and Computer Engineering, 2018, Georgia Tech

 Today, there are various different paradigms for vision based autonomous navigation: mediated perception approaches that parse an entire scene to make driving decision, a direct… (more)

Subjects/Keywords: Autonomous navigation; CNNs; Computer vision

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APA (6th Edition):

Dedhia, V. (2018). Scene flow for autonomous navigation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59948

Chicago Manual of Style (16th Edition):

Dedhia, Vaibhav. “Scene flow for autonomous navigation.” 2018. Masters Thesis, Georgia Tech. Accessed July 23, 2019. http://hdl.handle.net/1853/59948.

MLA Handbook (7th Edition):

Dedhia, Vaibhav. “Scene flow for autonomous navigation.” 2018. Web. 23 Jul 2019.

Vancouver:

Dedhia V. Scene flow for autonomous navigation. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1853/59948.

Council of Science Editors:

Dedhia V. Scene flow for autonomous navigation. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59948


Oregon State University

11. Song, Zhao-ming. Package inspection with a machine vision system.

Degree: MS, Industrial and Manufacturing Engineering, 1991, Oregon State University

 Machine Vision has been extensively applied in industry. This thesis project, which originated with a local food processor, applies a vision system to inspection of… (more)

Subjects/Keywords: Computer vision

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APA (6th Edition):

Song, Z. (1991). Package inspection with a machine vision system. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/37672

Chicago Manual of Style (16th Edition):

Song, Zhao-ming. “Package inspection with a machine vision system.” 1991. Masters Thesis, Oregon State University. Accessed July 23, 2019. http://hdl.handle.net/1957/37672.

MLA Handbook (7th Edition):

Song, Zhao-ming. “Package inspection with a machine vision system.” 1991. Web. 23 Jul 2019.

Vancouver:

Song Z. Package inspection with a machine vision system. [Internet] [Masters thesis]. Oregon State University; 1991. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1957/37672.

Council of Science Editors:

Song Z. Package inspection with a machine vision system. [Masters Thesis]. Oregon State University; 1991. Available from: http://hdl.handle.net/1957/37672


Virginia Tech

12. Bala, Divya Chandrakant. Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis.

Degree: MS, Electrical and Computer Engineering, 2016, Virginia Tech

 Cancer is among the leading causes of death worldwide. In 2012, there were 14 million new cases and 8.2 million cancer-related deaths worldwide. The number… (more)

Subjects/Keywords: Cell Phenotype; Computer Vision; Dielectrophoresis

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APA (6th Edition):

Bala, D. C. (2016). Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/71428

Chicago Manual of Style (16th Edition):

Bala, Divya Chandrakant. “Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis.” 2016. Masters Thesis, Virginia Tech. Accessed July 23, 2019. http://hdl.handle.net/10919/71428.

MLA Handbook (7th Edition):

Bala, Divya Chandrakant. “Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis.” 2016. Web. 23 Jul 2019.

Vancouver:

Bala DC. Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis. [Internet] [Masters thesis]. Virginia Tech; 2016. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10919/71428.

Council of Science Editors:

Bala DC. Cell Phenotype Analyzer: Automated Techniques for Cell Phenotyping using Contactless Dielectrophoresis. [Masters Thesis]. Virginia Tech; 2016. Available from: http://hdl.handle.net/10919/71428


Virginia Tech

13. Zhang, Yuhan. Target Tracking from a UAV based on Computer Vision.

Degree: MS, Mechanical Engineering, 2018, Virginia Tech

 This thesis presents the design and build of tracking system for a quadrotor to chase a moving target based on computer vision in GPS-denied environment.… (more)

Subjects/Keywords: UAV; control; computer vision

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APA (6th Edition):

Zhang, Y. (2018). Target Tracking from a UAV based on Computer Vision. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/83542

Chicago Manual of Style (16th Edition):

Zhang, Yuhan. “Target Tracking from a UAV based on Computer Vision.” 2018. Masters Thesis, Virginia Tech. Accessed July 23, 2019. http://hdl.handle.net/10919/83542.

MLA Handbook (7th Edition):

Zhang, Yuhan. “Target Tracking from a UAV based on Computer Vision.” 2018. Web. 23 Jul 2019.

Vancouver:

Zhang Y. Target Tracking from a UAV based on Computer Vision. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10919/83542.

Council of Science Editors:

Zhang Y. Target Tracking from a UAV based on Computer Vision. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/83542


Georgia Tech

14. Danner, Jay C. Adaptive shadow removal for variable environmental conditions.

Degree: MS, Electrical and Computer Engineering, 2017, Georgia Tech

 The motivation for this research is to provide a quantitative model for improving shadow detection in arbitrary environments. Many computer vision applications extract foreground pixels… (more)

Subjects/Keywords: Shadow removal; Adaptation; Computer vision

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APA (6th Edition):

Danner, J. C. (2017). Adaptive shadow removal for variable environmental conditions. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59809

Chicago Manual of Style (16th Edition):

Danner, Jay C. “Adaptive shadow removal for variable environmental conditions.” 2017. Masters Thesis, Georgia Tech. Accessed July 23, 2019. http://hdl.handle.net/1853/59809.

MLA Handbook (7th Edition):

Danner, Jay C. “Adaptive shadow removal for variable environmental conditions.” 2017. Web. 23 Jul 2019.

Vancouver:

Danner JC. Adaptive shadow removal for variable environmental conditions. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1853/59809.

Council of Science Editors:

Danner JC. Adaptive shadow removal for variable environmental conditions. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59809


University of Illinois – Urbana-Champaign

15. Khalid, Mariyam. Understanding scene structure from images.

Degree: MS, 0112, 2014, University of Illinois – Urbana-Champaign

 The task of recovering 3D information from 2D images has long been a focus of Computer Vision research. Such information is useful in many applications:… (more)

Subjects/Keywords: Computer Vision; Reconstruction; Scene Understanding

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APA (6th Edition):

Khalid, M. (2014). Understanding scene structure from images. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49723

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):

Khalid, Mariyam. “Understanding scene structure from images.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed July 23, 2019. http://hdl.handle.net/2142/49723.

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

MLA Handbook (7th Edition):

Khalid, Mariyam. “Understanding scene structure from images.” 2014. Web. 23 Jul 2019.

Vancouver:

Khalid M. Understanding scene structure from images. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2142/49723.

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

Council of Science Editors:

Khalid M. Understanding scene structure from images. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49723

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


University of Illinois – Urbana-Champaign

16. Wu, Fangyu. Unsupervised tracking algorithm for precise traffic estimation in panoramic scenes.

Degree: MS, Civil Engineering, 2018, University of Illinois – Urbana-Champaign

 The traffic experiment conducted by physicist Sugiyama in 2007 has been a seminal work in transportation research. In the experiment, a group of vehicles are… (more)

Subjects/Keywords: Computer Vision; Vehicle Tracking

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APA (6th Edition):

Wu, F. (2018). Unsupervised tracking algorithm for precise traffic estimation in panoramic scenes. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/100926

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, Fangyu. “Unsupervised tracking algorithm for precise traffic estimation in panoramic scenes.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed July 23, 2019. http://hdl.handle.net/2142/100926.

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

MLA Handbook (7th Edition):

Wu, Fangyu. “Unsupervised tracking algorithm for precise traffic estimation in panoramic scenes.” 2018. Web. 23 Jul 2019.

Vancouver:

Wu F. Unsupervised tracking algorithm for precise traffic estimation in panoramic scenes. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/2142/100926.

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

Council of Science Editors:

Wu F. Unsupervised tracking algorithm for precise traffic estimation in panoramic scenes. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/100926

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

17. Lin, Junyuan. A study of methods for fine-grained object classification of arthropod specimens.

Degree: MS, Computer Science, 2013, Oregon State University

 Object categorization is one of the fundamental topics in computer vision research. Most current work in object categorization aims to discriminate among generic object classes… (more)

Subjects/Keywords: Computer Vision; Computer vision

computer vision. The problem has drawn considerable research attention. Over the last decade with… …While this addresses important fundamental questions in computer vision, it does not solve any… …challenges to the computer vision community. The small intra-class differences and large inter… …computer vision. From the machine learning point of view, the object categorization problem can… …learning algorithms have been proposed in the computer vision community. Among them, the bag-of… 

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APA (6th Edition):

Lin, J. (2013). A study of methods for fine-grained object classification of arthropod specimens. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/38009

Chicago Manual of Style (16th Edition):

Lin, Junyuan. “A study of methods for fine-grained object classification of arthropod specimens.” 2013. Masters Thesis, Oregon State University. Accessed July 23, 2019. http://hdl.handle.net/1957/38009.

MLA Handbook (7th Edition):

Lin, Junyuan. “A study of methods for fine-grained object classification of arthropod specimens.” 2013. Web. 23 Jul 2019.

Vancouver:

Lin J. A study of methods for fine-grained object classification of arthropod specimens. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1957/38009.

Council of Science Editors:

Lin J. A study of methods for fine-grained object classification of arthropod specimens. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/38009

18. Feng, Yaofei. Fine-grained detection and localization of objects in images.

Degree: MS, Computer Science, 2013, Oregon State University

 Object recognition is a fundamental problem in computer vision. Recognition is required by many applications. This thesis presents a distance based approach to recognize objects.… (more)

Subjects/Keywords: Computer vision; Computer vision

…is a fundamental problem in computer vision. Recognition is required by many applications… …thesis is organized as follows: Chapter 2 discusses related work in computer vision and machine… …Oriented Gradients(HOG) is a very popular feature descriptor in computer vision and… …vision. Our algorithm simulates the gaze behaviour of people. Given an image, a person will not… …computer-based algorithms. The accuracy of our approach is merely 10% lower than the best result… 

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APA (6th Edition):

Feng, Y. (2013). Fine-grained detection and localization of objects in images. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/39627

Chicago Manual of Style (16th Edition):

Feng, Yaofei. “Fine-grained detection and localization of objects in images.” 2013. Masters Thesis, Oregon State University. Accessed July 23, 2019. http://hdl.handle.net/1957/39627.

MLA Handbook (7th Edition):

Feng, Yaofei. “Fine-grained detection and localization of objects in images.” 2013. Web. 23 Jul 2019.

Vancouver:

Feng Y. Fine-grained detection and localization of objects in images. [Internet] [Masters thesis]. Oregon State University; 2013. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1957/39627.

Council of Science Editors:

Feng Y. Fine-grained detection and localization of objects in images. [Masters Thesis]. Oregon State University; 2013. Available from: http://hdl.handle.net/1957/39627


Wright State University

19. Patrick, Ryan Stewart. Surveillance in a Smart Home Environment.

Degree: MS, Computer Science, 2010, Wright State University

  A system for assisting the elderly in maintaining independent living is currently being designed. When mature, it is expected that this system will have… (more)

Subjects/Keywords: Computer Science; surveillance; computer vision; machine vision; object tracking

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APA (6th Edition):

Patrick, R. S. (2010). Surveillance in a Smart Home Environment. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516

Chicago Manual of Style (16th Edition):

Patrick, Ryan Stewart. “Surveillance in a Smart Home Environment.” 2010. Masters Thesis, Wright State University. Accessed July 23, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516.

MLA Handbook (7th Edition):

Patrick, Ryan Stewart. “Surveillance in a Smart Home Environment.” 2010. Web. 23 Jul 2019.

Vancouver:

Patrick RS. Surveillance in a Smart Home Environment. [Internet] [Masters thesis]. Wright State University; 2010. [cited 2019 Jul 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516.

Council of Science Editors:

Patrick RS. Surveillance in a Smart Home Environment. [Masters Thesis]. Wright State University; 2010. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1278508516

20. Lam, Michael (Michael Quang Thai). Object detection in biological images using a search-based framework.

Degree: MS, Computer Science, 2014, Oregon State University

 This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images… (more)

Subjects/Keywords: Computer Vision; Computer vision

…Introduction One of the fundamental goals of computer vision is to automatically identify what ob­… …This computer vision problem arises in a wide range of domains, including the anal­ ysis of… …computer vision. For example, such images often contain significant background clutter that… …approach has never been used before for computer vision. HC -Search employs two learned… …dataset for computer vision. These are Scanning Electron Microscope (SEM) images that… 

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APA (6th Edition):

Lam, M. (. Q. T. (2014). Object detection in biological images using a search-based framework. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/49275

Chicago Manual of Style (16th Edition):

Lam, Michael (Michael Quang Thai). “Object detection in biological images using a search-based framework.” 2014. Masters Thesis, Oregon State University. Accessed July 23, 2019. http://hdl.handle.net/1957/49275.

MLA Handbook (7th Edition):

Lam, Michael (Michael Quang Thai). “Object detection in biological images using a search-based framework.” 2014. Web. 23 Jul 2019.

Vancouver:

Lam M(QT. Object detection in biological images using a search-based framework. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/1957/49275.

Council of Science Editors:

Lam M(QT. Object detection in biological images using a search-based framework. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/49275


Penn State University

21. Sabarad, Jagdish Shivaji. A Reconfigurable Accelerator For Neuromorphic Object Recognition.

Degree: MS, Computer Science and Engineering, 2016, Penn State University

 A significant challenge in creating machines with artificial vision is designing systems which can process visual information as efficiently as the human brain. Recent advances… (more)

Subjects/Keywords: Hardware Accelerator; HMAX; FPGA; Machine Vision; Computer Vision; Hardware Architecture; High Performance Computing; Bio-Vision

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APA (6th Edition):

Sabarad, J. S. (2016). A Reconfigurable Accelerator For Neuromorphic Object Recognition. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/29520

Chicago Manual of Style (16th Edition):

Sabarad, Jagdish Shivaji. “A Reconfigurable Accelerator For Neuromorphic Object Recognition.” 2016. Masters Thesis, Penn State University. Accessed July 23, 2019. https://etda.libraries.psu.edu/catalog/29520.

MLA Handbook (7th Edition):

Sabarad, Jagdish Shivaji. “A Reconfigurable Accelerator For Neuromorphic Object Recognition.” 2016. Web. 23 Jul 2019.

Vancouver:

Sabarad JS. A Reconfigurable Accelerator For Neuromorphic Object Recognition. [Internet] [Masters thesis]. Penn State University; 2016. [cited 2019 Jul 23]. Available from: https://etda.libraries.psu.edu/catalog/29520.

Council of Science Editors:

Sabarad JS. A Reconfigurable Accelerator For Neuromorphic Object Recognition. [Masters Thesis]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/29520


California State University – Sacramento

22. Mothe, Sravan Kumar Reddy. Computer recognition system for detecting and tracking objects in 3D environment.

Degree: MS, Mechanical Engineering, 2011, California State University – Sacramento

 In recent times computer recognition has become most powerful tool for many robotic applications. Applications like inspection, surveillance, industrial automation and gaming needs 3D positional… (more)

Subjects/Keywords: Machine vision; Computer vision; Object tracking using OpenCV

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APA (6th Edition):

Mothe, S. K. R. (2011). Computer recognition system for detecting and tracking objects in 3D environment. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/1249

Chicago Manual of Style (16th Edition):

Mothe, Sravan Kumar Reddy. “Computer recognition system for detecting and tracking objects in 3D environment.” 2011. Masters Thesis, California State University – Sacramento. Accessed July 23, 2019. http://hdl.handle.net/10211.9/1249.

MLA Handbook (7th Edition):

Mothe, Sravan Kumar Reddy. “Computer recognition system for detecting and tracking objects in 3D environment.” 2011. Web. 23 Jul 2019.

Vancouver:

Mothe SKR. Computer recognition system for detecting and tracking objects in 3D environment. [Internet] [Masters thesis]. California State University – Sacramento; 2011. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10211.9/1249.

Council of Science Editors:

Mothe SKR. Computer recognition system for detecting and tracking objects in 3D environment. [Masters Thesis]. California State University – Sacramento; 2011. Available from: http://hdl.handle.net/10211.9/1249


Clemson University

23. Abdelhamid, Mahmoud. EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS.

Degree: MS, Mechanical Engineering, 2011, Clemson University

 This thesis presents a new method to extract depth information from stereo-vision acquisitions using a feature and a correlation based approaches. The main implementation of… (more)

Subjects/Keywords: 3D vision; Computer Vision; Pick and place; Robotics; Triangulation; Mechanical Engineering

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APA (6th Edition):

Abdelhamid, M. (2011). EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1216

Chicago Manual of Style (16th Edition):

Abdelhamid, Mahmoud. “EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS.” 2011. Masters Thesis, Clemson University. Accessed July 23, 2019. https://tigerprints.clemson.edu/all_theses/1216.

MLA Handbook (7th Edition):

Abdelhamid, Mahmoud. “EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS.” 2011. Web. 23 Jul 2019.

Vancouver:

Abdelhamid M. EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS. [Internet] [Masters thesis]. Clemson University; 2011. [cited 2019 Jul 23]. Available from: https://tigerprints.clemson.edu/all_theses/1216.

Council of Science Editors:

Abdelhamid M. EXTRACTING DEPTH INFORMATION FROM STEREO VISION SYSTEM, USING A CORRELATION AND A FEATURE BASED METHODS. [Masters Thesis]. Clemson University; 2011. Available from: https://tigerprints.clemson.edu/all_theses/1216


Virginia Tech

24. Gassaway, Jason Cannon. Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction.

Degree: MS, Mechanical Engineering, 2011, Virginia Tech

 This thesis presents a new method for improved resolution of stereoscopic 3D terrain mapping by local dense bundling of disparity maps. The Unmanned Systems Lab… (more)

Subjects/Keywords: Stereo Vision; UAV; Terrain Mapping; Computer Vision; Stereo Correspondence; Bundle Adjustment

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APA (6th Edition):

Gassaway, J. C. (2011). Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/34086

Chicago Manual of Style (16th Edition):

Gassaway, Jason Cannon. “Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction.” 2011. Masters Thesis, Virginia Tech. Accessed July 23, 2019. http://hdl.handle.net/10919/34086.

MLA Handbook (7th Edition):

Gassaway, Jason Cannon. “Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction.” 2011. Web. 23 Jul 2019.

Vancouver:

Gassaway JC. Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction. [Internet] [Masters thesis]. Virginia Tech; 2011. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10919/34086.

Council of Science Editors:

Gassaway JC. Local Bundling of Disparity Maps for Improved Dense 3D Visual Reconstruction. [Masters Thesis]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/34086


Virginia Tech

25. Kotha, Bhavi Bharat. Using Texture Features To Perform Depth Estimation.

Degree: MS, Mechanical Engineering, 2018, Virginia Tech

 There is a great need in real world applications for estimating depth through electronic means without human intervention. There are many methods in the field… (more)

Subjects/Keywords: Computer Vision; Stereo Vision; Depth Estimation; Scoring; Ranking

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APA (6th Edition):

Kotha, B. B. (2018). Using Texture Features To Perform Depth Estimation. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81895

Chicago Manual of Style (16th Edition):

Kotha, Bhavi Bharat. “Using Texture Features To Perform Depth Estimation.” 2018. Masters Thesis, Virginia Tech. Accessed July 23, 2019. http://hdl.handle.net/10919/81895.

MLA Handbook (7th Edition):

Kotha, Bhavi Bharat. “Using Texture Features To Perform Depth Estimation.” 2018. Web. 23 Jul 2019.

Vancouver:

Kotha BB. Using Texture Features To Perform Depth Estimation. [Internet] [Masters thesis]. Virginia Tech; 2018. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10919/81895.

Council of Science Editors:

Kotha BB. Using Texture Features To Perform Depth Estimation. [Masters Thesis]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/81895


Rochester Institute of Technology

26. Kapisthalam, Sanjana. An Application of Deep-Learning to Understand Human Perception of Art.

Degree: MS, Chester F. Carlson Center for Imaging Science (COS), 2018, Rochester Institute of Technology

  Eye movement patterns are known to differ when looking at stimuli given a different task, but less is known about how these patterns change… (more)

Subjects/Keywords: Art; Computer vision; Human vision; Machine learning; Perception

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APA (6th Edition):

Kapisthalam, S. (2018). An Application of Deep-Learning to Understand Human Perception of Art. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9970

Chicago Manual of Style (16th Edition):

Kapisthalam, Sanjana. “An Application of Deep-Learning to Understand Human Perception of Art.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed July 23, 2019. https://scholarworks.rit.edu/theses/9970.

MLA Handbook (7th Edition):

Kapisthalam, Sanjana. “An Application of Deep-Learning to Understand Human Perception of Art.” 2018. Web. 23 Jul 2019.

Vancouver:

Kapisthalam S. An Application of Deep-Learning to Understand Human Perception of Art. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Jul 23]. Available from: https://scholarworks.rit.edu/theses/9970.

Council of Science Editors:

Kapisthalam S. An Application of Deep-Learning to Understand Human Perception of Art. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9970


California State University – Northridge

27. Burns, Stephen. Virtual reality simulation using stereoscopic vision and motion tracking.

Degree: MS, Department of Computer Science, 2012, California State University – Northridge

 The graduate project is a three dimensional virtual reality game which uses user motion tracking for input and stereoscopic vision for display. The game created… (more)

Subjects/Keywords: Shutter Vision; Dissertations, Academic  – CSUN  – Computer Science.

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APA (6th Edition):

Burns, S. (2012). Virtual reality simulation using stereoscopic vision and motion tracking. (Masters Thesis). California State University – Northridge. Retrieved from http://hdl.handle.net/10211.2/830

Chicago Manual of Style (16th Edition):

Burns, Stephen. “Virtual reality simulation using stereoscopic vision and motion tracking.” 2012. Masters Thesis, California State University – Northridge. Accessed July 23, 2019. http://hdl.handle.net/10211.2/830.

MLA Handbook (7th Edition):

Burns, Stephen. “Virtual reality simulation using stereoscopic vision and motion tracking.” 2012. Web. 23 Jul 2019.

Vancouver:

Burns S. Virtual reality simulation using stereoscopic vision and motion tracking. [Internet] [Masters thesis]. California State University – Northridge; 2012. [cited 2019 Jul 23]. Available from: http://hdl.handle.net/10211.2/830.

Council of Science Editors:

Burns S. Virtual reality simulation using stereoscopic vision and motion tracking. [Masters Thesis]. California State University – Northridge; 2012. Available from: http://hdl.handle.net/10211.2/830


University of Alberta

28. Gedge, Jason. Underwater Stereo Matching and its Calibration.

Degree: MS, Department of Computing Science, 2011, University of Alberta

 A fundamental component of stereo vision is that of epipolar geometry. It shows that the corresponding point of a pixel in one image is restricted… (more)

Subjects/Keywords: Underwater stereo; Stereo matching; Refraction; Computer vision

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APA (6th Edition):

Gedge, J. (2011). Underwater Stereo Matching and its Calibration. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/hd76s037h

Chicago Manual of Style (16th Edition):

Gedge, Jason. “Underwater Stereo Matching and its Calibration.” 2011. Masters Thesis, University of Alberta. Accessed July 23, 2019. https://era.library.ualberta.ca/files/hd76s037h.

MLA Handbook (7th Edition):

Gedge, Jason. “Underwater Stereo Matching and its Calibration.” 2011. Web. 23 Jul 2019.

Vancouver:

Gedge J. Underwater Stereo Matching and its Calibration. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2019 Jul 23]. Available from: https://era.library.ualberta.ca/files/hd76s037h.

Council of Science Editors:

Gedge J. Underwater Stereo Matching and its Calibration. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/hd76s037h


University of Alberta

29. Zhao, Ling. Solving and creating difficult instances of Post's correspondence problem.

Degree: MS, Department of Computing Science, 2002, University of Alberta

Subjects/Keywords: Algorithms.; Computer vision.

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APA (6th Edition):

Zhao, L. (2002). Solving and creating difficult instances of Post's correspondence problem. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/1g05fd94p

Chicago Manual of Style (16th Edition):

Zhao, Ling. “Solving and creating difficult instances of Post's correspondence problem.” 2002. Masters Thesis, University of Alberta. Accessed July 23, 2019. https://era.library.ualberta.ca/files/1g05fd94p.

MLA Handbook (7th Edition):

Zhao, Ling. “Solving and creating difficult instances of Post's correspondence problem.” 2002. Web. 23 Jul 2019.

Vancouver:

Zhao L. Solving and creating difficult instances of Post's correspondence problem. [Internet] [Masters thesis]. University of Alberta; 2002. [cited 2019 Jul 23]. Available from: https://era.library.ualberta.ca/files/1g05fd94p.

Council of Science Editors:

Zhao L. Solving and creating difficult instances of Post's correspondence problem. [Masters Thesis]. University of Alberta; 2002. Available from: https://era.library.ualberta.ca/files/1g05fd94p


University of Alberta

30. Hess, Andy T. Deep Synthetic Viewpoint Prediction.

Degree: MS, Department of Computing Science, 2015, University of Alberta

 Determining the viewpoint (pose) of rigid objects in images is a classic vision problem with applications to robotic grasping, autonomous navigation, augmented reality, semantic SLAM… (more)

Subjects/Keywords: Convolutional Neural Networks; Computer Vision; Viewpoint Prediction

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APA (6th Edition):

Hess, A. T. (2015). Deep Synthetic Viewpoint Prediction. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/9g54xm59d

Chicago Manual of Style (16th Edition):

Hess, Andy T. “Deep Synthetic Viewpoint Prediction.” 2015. Masters Thesis, University of Alberta. Accessed July 23, 2019. https://era.library.ualberta.ca/files/9g54xm59d.

MLA Handbook (7th Edition):

Hess, Andy T. “Deep Synthetic Viewpoint Prediction.” 2015. Web. 23 Jul 2019.

Vancouver:

Hess AT. Deep Synthetic Viewpoint Prediction. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Jul 23]. Available from: https://era.library.ualberta.ca/files/9g54xm59d.

Council of Science Editors:

Hess AT. Deep Synthetic Viewpoint Prediction. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/9g54xm59d

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