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Dept: Computer Engineering

You searched for subject:(Vision). Showing records 1 – 30 of 42 total matches.

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Rochester Institute of Technology

1. Armenio, Christopher. Communication framework for distributed computer vision on stationary and mobile platforms.

Degree: Computer Engineering, 2009, Rochester Institute of Technology

 Recent advances in the complexity and manufacturability of digital video cameras coupled with the ubiquity of high speed computers and communication networks have led to… (more)

Subjects/Keywords: Computer vision; Distributed; Framework; Mobile

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APA (6th Edition):

Armenio, C. (2009). Communication framework for distributed computer vision on stationary and mobile platforms. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5496

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):

Armenio, Christopher. “Communication framework for distributed computer vision on stationary and mobile platforms.” 2009. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/5496.

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

MLA Handbook (7th Edition):

Armenio, Christopher. “Communication framework for distributed computer vision on stationary and mobile platforms.” 2009. Web. 20 Aug 2019.

Vancouver:

Armenio C. Communication framework for distributed computer vision on stationary and mobile platforms. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/5496.

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

Council of Science Editors:

Armenio C. Communication framework for distributed computer vision on stationary and mobile platforms. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/5496

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


California State University – Sacramento

2. Kennedy, Sean Patrick. Stereo vision for real-time obstacle detection.

Degree: MS, Computer Engineering, 2019, California State University – Sacramento

 Real-time obstacle detection is one of the critical problems in autonomous vehicles. Due to the variety of environments that autonomous vehicles encounter, a more robust… (more)

Subjects/Keywords: Machine vision; 3D mapping; Depth map

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APA (6th Edition):

Kennedy, S. P. (2019). Stereo vision for real-time obstacle detection. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/210358

Chicago Manual of Style (16th Edition):

Kennedy, Sean Patrick. “Stereo vision for real-time obstacle detection.” 2019. Masters Thesis, California State University – Sacramento. Accessed August 20, 2019. http://hdl.handle.net/10211.3/210358.

MLA Handbook (7th Edition):

Kennedy, Sean Patrick. “Stereo vision for real-time obstacle detection.” 2019. Web. 20 Aug 2019.

Vancouver:

Kennedy SP. Stereo vision for real-time obstacle detection. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10211.3/210358.

Council of Science Editors:

Kennedy SP. Stereo vision for real-time obstacle detection. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/210358


Rochester Institute of Technology

3. Dudley, Michael David. Recognition of human interactions using limb-level feature points.

Degree: Computer Engineering, 2009, Rochester Institute of Technology

 Human activity recognition is an emerging area of research in computer vision with applications in video surveillance, human-computer interaction, robotics, and video annotation. Despite a… (more)

Subjects/Keywords: Activity recognition; Computer vision; Interaction recognition

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APA (6th Edition):

Dudley, M. D. (2009). Recognition of human interactions using limb-level feature points. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/3223

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):

Dudley, Michael David. “Recognition of human interactions using limb-level feature points.” 2009. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/3223.

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

MLA Handbook (7th Edition):

Dudley, Michael David. “Recognition of human interactions using limb-level feature points.” 2009. Web. 20 Aug 2019.

Vancouver:

Dudley MD. Recognition of human interactions using limb-level feature points. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/3223.

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

Council of Science Editors:

Dudley MD. Recognition of human interactions using limb-level feature points. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/3223

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


Rochester Institute of Technology

4. Harvey, Jesse Patrick. GPU acceleration of object classification algorithms using NVIDIA CUDA.

Degree: Computer Engineering, 2009, Rochester Institute of Technology

 The field of computer vision has become an important part of today's society, supporting crucial applications in the medical, manufacturing, military intelligence and surveillance domains.… (more)

Subjects/Keywords: Machine vision; Object detection; Parallel programming

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APA (6th Edition):

Harvey, J. P. (2009). GPU acceleration of object classification algorithms using NVIDIA CUDA. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/3224

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):

Harvey, Jesse Patrick. “GPU acceleration of object classification algorithms using NVIDIA CUDA.” 2009. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/3224.

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

MLA Handbook (7th Edition):

Harvey, Jesse Patrick. “GPU acceleration of object classification algorithms using NVIDIA CUDA.” 2009. Web. 20 Aug 2019.

Vancouver:

Harvey JP. GPU acceleration of object classification algorithms using NVIDIA CUDA. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/3224.

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

Council of Science Editors:

Harvey JP. GPU acceleration of object classification algorithms using NVIDIA CUDA. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/3224

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


California State University – Sacramento

5. Yaseen, Sarmad Khalooq. Distance estimation from stereo vision: review and results.

Degree: MS, Computer Engineering, 2019, California State University – Sacramento

 Stereo vision is the one of the major researched domains of computer vision, and it can be used for different applications, among them, extraction of… (more)

Subjects/Keywords: Distance measurement using machine vision; Finding the depth using two camera; Determine object location by using two identical camera vision

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

APA (6th Edition):

Yaseen, S. K. (2019). Distance estimation from stereo vision: review and results. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/210181

Chicago Manual of Style (16th Edition):

Yaseen, Sarmad Khalooq. “Distance estimation from stereo vision: review and results.” 2019. Masters Thesis, California State University – Sacramento. Accessed August 20, 2019. http://hdl.handle.net/10211.3/210181.

MLA Handbook (7th Edition):

Yaseen, Sarmad Khalooq. “Distance estimation from stereo vision: review and results.” 2019. Web. 20 Aug 2019.

Vancouver:

Yaseen SK. Distance estimation from stereo vision: review and results. [Internet] [Masters thesis]. California State University – Sacramento; 2019. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10211.3/210181.

Council of Science Editors:

Yaseen SK. Distance estimation from stereo vision: review and results. [Masters Thesis]. California State University – Sacramento; 2019. Available from: http://hdl.handle.net/10211.3/210181


California State University – Sacramento

6. Hakhamaneshi, Bahram. A hardware implementation of the Advanced Encryption Standard (AES) algorithm using SystemVerilog.

Degree: MS, Computer Engineering, 2010, California State University – Sacramento

 The increasing need for protecting data communication in computer networks has led to development of several cryptography algorithms. The Advanced Encryption Standard (AES) is a… (more)

Subjects/Keywords: Object oriented programming; Encryption; Decryption; Functional coverage; Design compiler; Design vision

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APA (6th Edition):

Hakhamaneshi, B. (2010). A hardware implementation of the Advanced Encryption Standard (AES) algorithm using SystemVerilog. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/290

Chicago Manual of Style (16th Edition):

Hakhamaneshi, Bahram. “A hardware implementation of the Advanced Encryption Standard (AES) algorithm using SystemVerilog.” 2010. Masters Thesis, California State University – Sacramento. Accessed August 20, 2019. http://hdl.handle.net/10211.9/290.

MLA Handbook (7th Edition):

Hakhamaneshi, Bahram. “A hardware implementation of the Advanced Encryption Standard (AES) algorithm using SystemVerilog.” 2010. Web. 20 Aug 2019.

Vancouver:

Hakhamaneshi B. A hardware implementation of the Advanced Encryption Standard (AES) algorithm using SystemVerilog. [Internet] [Masters thesis]. California State University – Sacramento; 2010. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10211.9/290.

Council of Science Editors:

Hakhamaneshi B. A hardware implementation of the Advanced Encryption Standard (AES) algorithm using SystemVerilog. [Masters Thesis]. California State University – Sacramento; 2010. Available from: http://hdl.handle.net/10211.9/290


Clemson University

7. Ravindran, Satish. Ear Contour Detection and Modeling Using Statistical Shape Models.

Degree: MS, Computer Engineering, 2014, Clemson University

  Ear detection is an actively growing area of research because of its applications in human head tracking and biometric recognition. In head tracking, it… (more)

Subjects/Keywords: Biometrics; Computer Vision; Ear detection; Ear modeling; Computer Engineering; Computer Sciences

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APA (6th Edition):

Ravindran, S. (2014). Ear Contour Detection and Modeling Using Statistical Shape Models. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/1992

Chicago Manual of Style (16th Edition):

Ravindran, Satish. “Ear Contour Detection and Modeling Using Statistical Shape Models.” 2014. Masters Thesis, Clemson University. Accessed August 20, 2019. https://tigerprints.clemson.edu/all_theses/1992.

MLA Handbook (7th Edition):

Ravindran, Satish. “Ear Contour Detection and Modeling Using Statistical Shape Models.” 2014. Web. 20 Aug 2019.

Vancouver:

Ravindran S. Ear Contour Detection and Modeling Using Statistical Shape Models. [Internet] [Masters thesis]. Clemson University; 2014. [cited 2019 Aug 20]. Available from: https://tigerprints.clemson.edu/all_theses/1992.

Council of Science Editors:

Ravindran S. Ear Contour Detection and Modeling Using Statistical Shape Models. [Masters Thesis]. Clemson University; 2014. Available from: https://tigerprints.clemson.edu/all_theses/1992


University of California – Santa Cruz

8. Ren, Peng. Panoramic imaging for text spotting.

Degree: Computer Engineering, 2018, University of California – Santa Cruz

 Visually impaired people are a group of people who have some degree of vision loss. In order to help these people getting text information of… (more)

Subjects/Keywords: Computer engineering; Android; Computer Vision; Visually Impaired People

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APA (6th Edition):

Ren, P. (2018). Panoramic imaging for text spotting. (Thesis). University of California – Santa Cruz. Retrieved from http://www.escholarship.org/uc/item/9254s5rk

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):

Ren, Peng. “Panoramic imaging for text spotting.” 2018. Thesis, University of California – Santa Cruz. Accessed August 20, 2019. http://www.escholarship.org/uc/item/9254s5rk.

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

MLA Handbook (7th Edition):

Ren, Peng. “Panoramic imaging for text spotting.” 2018. Web. 20 Aug 2019.

Vancouver:

Ren P. Panoramic imaging for text spotting. [Internet] [Thesis]. University of California – Santa Cruz; 2018. [cited 2019 Aug 20]. Available from: http://www.escholarship.org/uc/item/9254s5rk.

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

Council of Science Editors:

Ren P. Panoramic imaging for text spotting. [Thesis]. University of California – Santa Cruz; 2018. Available from: http://www.escholarship.org/uc/item/9254s5rk

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


Rochester Institute of Technology

9. Hong, Aun Kei. A Novel approach to a wearable eye tracker using region-based gaze estimation.

Degree: Computer Engineering, 2013, Rochester Institute of Technology

 Eye tracking studies are useful to understand human behavior and reactions to visual stimuli. To conduct experiments in natural environments it is common to use… (more)

Subjects/Keywords: Computer vision; Eye detection; Eye tracking; Gaze estimation; Image processing; Wearable

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

APA (6th Edition):

Hong, A. K. (2013). A Novel approach to a wearable eye tracker using region-based gaze estimation. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/3122

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):

Hong, Aun Kei. “A Novel approach to a wearable eye tracker using region-based gaze estimation.” 2013. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/3122.

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

MLA Handbook (7th Edition):

Hong, Aun Kei. “A Novel approach to a wearable eye tracker using region-based gaze estimation.” 2013. Web. 20 Aug 2019.

Vancouver:

Hong AK. A Novel approach to a wearable eye tracker using region-based gaze estimation. [Internet] [Thesis]. Rochester Institute of Technology; 2013. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/3122.

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

Council of Science Editors:

Hong AK. A Novel approach to a wearable eye tracker using region-based gaze estimation. [Thesis]. Rochester Institute of Technology; 2013. Available from: https://scholarworks.rit.edu/theses/3122

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


Rochester Institute of Technology

10. Lauzon, Jacob F. Sensor Fusion and Deep Learning for Indoor Agent Localization.

Degree: MS, Computer Engineering, 2017, Rochester Institute of Technology

  Autonomous, self-navigating agents have been rising in popularity due to a push for a more technologically aided future. From cars to vacuum cleaners, the… (more)

Subjects/Keywords: Autonomous; Deep learning; Localization; Omni-vision; Particle filter; Wheelchair

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APA (6th Edition):

Lauzon, J. F. (2017). Sensor Fusion and Deep Learning for Indoor Agent Localization. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9519

Chicago Manual of Style (16th Edition):

Lauzon, Jacob F. “Sensor Fusion and Deep Learning for Indoor Agent Localization.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/9519.

MLA Handbook (7th Edition):

Lauzon, Jacob F. “Sensor Fusion and Deep Learning for Indoor Agent Localization.” 2017. Web. 20 Aug 2019.

Vancouver:

Lauzon JF. Sensor Fusion and Deep Learning for Indoor Agent Localization. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/9519.

Council of Science Editors:

Lauzon JF. Sensor Fusion and Deep Learning for Indoor Agent Localization. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9519


Rochester Institute of Technology

11. Thomas, Titus Pallithottathu. The Emotional Impact of Audio - Visual Stimuli.

Degree: MS, Computer Engineering, 2017, Rochester Institute of Technology

  Induced affect is the emotional effect of an object on an individual. It can be quantified through two metrics: valence and arousal. Valance quantifies… (more)

Subjects/Keywords: Affective analysis; Computer vision; Convolutional neural networks; Deep learning

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APA (6th Edition):

Thomas, T. P. (2017). The Emotional Impact of Audio - Visual Stimuli. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9557

Chicago Manual of Style (16th Edition):

Thomas, Titus Pallithottathu. “The Emotional Impact of Audio - Visual Stimuli.” 2017. Masters Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/9557.

MLA Handbook (7th Edition):

Thomas, Titus Pallithottathu. “The Emotional Impact of Audio - Visual Stimuli.” 2017. Web. 20 Aug 2019.

Vancouver:

Thomas TP. The Emotional Impact of Audio - Visual Stimuli. [Internet] [Masters thesis]. Rochester Institute of Technology; 2017. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/9557.

Council of Science Editors:

Thomas TP. The Emotional Impact of Audio - Visual Stimuli. [Masters Thesis]. Rochester Institute of Technology; 2017. Available from: https://scholarworks.rit.edu/theses/9557


Rochester Institute of Technology

12. Knack, Thomas. Real-time content-aware video retargeting on the Android platform for tunnel vision assistance.

Degree: Computer Engineering, 2012, Rochester Institute of Technology

 As mobile devices continue to rise in popularity, advances in overall mobile device processing power lead to further expansion of their capabilities. This, coupled with… (more)

Subjects/Keywords: Android; Content-aware; Real-time; Seam carving; Tunnel vision; Video retargeting

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APA (6th Edition):

Knack, T. (2012). Real-time content-aware video retargeting on the Android platform for tunnel vision assistance. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5446

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):

Knack, Thomas. “Real-time content-aware video retargeting on the Android platform for tunnel vision assistance.” 2012. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/5446.

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

MLA Handbook (7th Edition):

Knack, Thomas. “Real-time content-aware video retargeting on the Android platform for tunnel vision assistance.” 2012. Web. 20 Aug 2019.

Vancouver:

Knack T. Real-time content-aware video retargeting on the Android platform for tunnel vision assistance. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/5446.

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

Council of Science Editors:

Knack T. Real-time content-aware video retargeting on the Android platform for tunnel vision assistance. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/5446

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


Rochester Institute of Technology

13. Kelso, Carl Ryan. Direct occlusion handling for high level image processing algorithms.

Degree: Computer Engineering, 2009, Rochester Institute of Technology

 Many high-level computer vision algorithms suffer in the presence of occlusions caused by multiple objects overlapping in a view. Occlusions remove the direct correspondence between… (more)

Subjects/Keywords: Edge occlusion; Optical illusions; Perception; Robust statistics; Vision

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APA (6th Edition):

Kelso, C. R. (2009). Direct occlusion handling for high level image processing algorithms. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5480

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):

Kelso, Carl Ryan. “Direct occlusion handling for high level image processing algorithms.” 2009. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/5480.

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

MLA Handbook (7th Edition):

Kelso, Carl Ryan. “Direct occlusion handling for high level image processing algorithms.” 2009. Web. 20 Aug 2019.

Vancouver:

Kelso CR. Direct occlusion handling for high level image processing algorithms. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/5480.

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

Council of Science Editors:

Kelso CR. Direct occlusion handling for high level image processing algorithms. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/5480

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


Rochester Institute of Technology

14. Hays, Philip. Mobile to cloud co-processing of ASL finger spelling to text conversion.

Degree: Computer Engineering, 2012, Rochester Institute of Technology

 Computer recognition of American Sign Language (ASL) is a computationally intensive task. Although it has generally been performed using powerful lab workstations, this research investigates… (more)

Subjects/Keywords: American sign language; ASL; Cloud; Computer vision; Co-processing; Mobile

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APA (6th Edition):

Hays, P. (2012). Mobile to cloud co-processing of ASL finger spelling to text conversion. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/3095

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):

Hays, Philip. “Mobile to cloud co-processing of ASL finger spelling to text conversion.” 2012. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/3095.

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

MLA Handbook (7th Edition):

Hays, Philip. “Mobile to cloud co-processing of ASL finger spelling to text conversion.” 2012. Web. 20 Aug 2019.

Vancouver:

Hays P. Mobile to cloud co-processing of ASL finger spelling to text conversion. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/3095.

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

Council of Science Editors:

Hays P. Mobile to cloud co-processing of ASL finger spelling to text conversion. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/3095

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


Rochester Institute of Technology

15. Kholgade, Natasha Prashant. Recognition of human activities and expressions in video sequences using shape context descriptor.

Degree: Computer Engineering, 2009, Rochester Institute of Technology

 The recognition of objects and classes of objects is of importance in the field of computer vision due to its applicability in areas such as… (more)

Subjects/Keywords: Object recognition; Computer vision; Motion perception; Video analysis

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

APA (6th Edition):

Kholgade, N. P. (2009). Recognition of human activities and expressions in video sequences using shape context descriptor. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/3222

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):

Kholgade, Natasha Prashant. “Recognition of human activities and expressions in video sequences using shape context descriptor.” 2009. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/3222.

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

MLA Handbook (7th Edition):

Kholgade, Natasha Prashant. “Recognition of human activities and expressions in video sequences using shape context descriptor.” 2009. Web. 20 Aug 2019.

Vancouver:

Kholgade NP. Recognition of human activities and expressions in video sequences using shape context descriptor. [Internet] [Thesis]. Rochester Institute of Technology; 2009. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/3222.

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

Council of Science Editors:

Kholgade NP. Recognition of human activities and expressions in video sequences using shape context descriptor. [Thesis]. Rochester Institute of Technology; 2009. Available from: https://scholarworks.rit.edu/theses/3222

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


Rochester Institute of Technology

16. Longman, Ram. Embedded CycleGAN for Shape-Agnostic Image-to-Image Translation.

Degree: MS, Computer Engineering, 2018, Rochester Institute of Technology

  Image-to-Image translation is the task of translating images between domains while maintaining the identity of the images. The task can be used for entertainment… (more)

Subjects/Keywords: Computer vision; Deep learning; Generative adversarial networks; Machine learning

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APA (6th Edition):

Longman, R. (2018). Embedded CycleGAN for Shape-Agnostic Image-to-Image Translation. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9939

Chicago Manual of Style (16th Edition):

Longman, Ram. “Embedded CycleGAN for Shape-Agnostic Image-to-Image Translation.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/9939.

MLA Handbook (7th Edition):

Longman, Ram. “Embedded CycleGAN for Shape-Agnostic Image-to-Image Translation.” 2018. Web. 20 Aug 2019.

Vancouver:

Longman R. Embedded CycleGAN for Shape-Agnostic Image-to-Image Translation. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/9939.

Council of Science Editors:

Longman R. Embedded CycleGAN for Shape-Agnostic Image-to-Image Translation. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9939

17. Ghahramani, Farshad. Face Recognition: An Engineering Approach.

Degree: MS, Computer Engineering, 2015, San Jose State University

  In computer vision, face recognition is the process of labeling a face as recognized or unrecognized. The process is based on a pipeline that… (more)

Subjects/Keywords: COMPUTER VISION; FACE RECOGNITION

…2 Figure 2. Human vs. Computer vision… …vision. Computer vision applications can process images from a wide range of the… …spectrum [4]. In contrast to computer vision, face recognition applications are… …2 1.1 Why computer vision is hard All images must be first captured by a camera and… …then be given to a computer vision application for further processing. Compared to the human… 

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APA (6th Edition):

Ghahramani, F. (2015). Face Recognition: An Engineering Approach. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.zb9p-5z5h ; https://scholarworks.sjsu.edu/etd_theses/4635

Chicago Manual of Style (16th Edition):

Ghahramani, Farshad. “Face Recognition: An Engineering Approach.” 2015. Masters Thesis, San Jose State University. Accessed August 20, 2019. https://doi.org/10.31979/etd.zb9p-5z5h ; https://scholarworks.sjsu.edu/etd_theses/4635.

MLA Handbook (7th Edition):

Ghahramani, Farshad. “Face Recognition: An Engineering Approach.” 2015. Web. 20 Aug 2019.

Vancouver:

Ghahramani F. Face Recognition: An Engineering Approach. [Internet] [Masters thesis]. San Jose State University; 2015. [cited 2019 Aug 20]. Available from: https://doi.org/10.31979/etd.zb9p-5z5h ; https://scholarworks.sjsu.edu/etd_theses/4635.

Council of Science Editors:

Ghahramani F. Face Recognition: An Engineering Approach. [Masters Thesis]. San Jose State University; 2015. Available from: https://doi.org/10.31979/etd.zb9p-5z5h ; https://scholarworks.sjsu.edu/etd_theses/4635


Linköping University

18. Mollberg, Alexander. A Resource-Efficient and High-Performance Implementation of Object Tracking on a Programmable System-on-Chip.

Degree: Computer Engineering, 2016, Linköping University

  The computer vision problem of object tracking is introduced and explained. An approach to interest point based feature detection and tracking using FAST and… (more)

Subjects/Keywords: Computer Vision; FPGA; FAST; BRIEF; object tracking; Computer Technology; Computer Engineering; Datorteknik

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APA (6th Edition):

Mollberg, A. (2016). A Resource-Efficient and High-Performance Implementation of Object Tracking on a Programmable System-on-Chip. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-124044

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):

Mollberg, Alexander. “A Resource-Efficient and High-Performance Implementation of Object Tracking on a Programmable System-on-Chip.” 2016. Thesis, Linköping University. Accessed August 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-124044.

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

MLA Handbook (7th Edition):

Mollberg, Alexander. “A Resource-Efficient and High-Performance Implementation of Object Tracking on a Programmable System-on-Chip.” 2016. Web. 20 Aug 2019.

Vancouver:

Mollberg A. A Resource-Efficient and High-Performance Implementation of Object Tracking on a Programmable System-on-Chip. [Internet] [Thesis]. Linköping University; 2016. [cited 2019 Aug 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-124044.

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

Council of Science Editors:

Mollberg A. A Resource-Efficient and High-Performance Implementation of Object Tracking on a Programmable System-on-Chip. [Thesis]. Linköping University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-124044

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


Case Western Reserve University

19. McMichael, Scott Thomas. Lane Detection for DEXTER, an Autonomous Robot, in the Urban Challenge.

Degree: MSs, Computer Engineering, 2008, Case Western Reserve University

 This thesis describes the lane detection system developed for the autonomous robot DEXTER in the 2007 DARPA Urban Challenge. Though DEXTER was capable of navigating… (more)

Subjects/Keywords: autonomous robot; DARPA Urban Challenge; lane detection; road detection; computer vision; sensor fusion

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

APA (6th Edition):

McMichael, S. T. (2008). Lane Detection for DEXTER, an Autonomous Robot, in the Urban Challenge. (Masters Thesis). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1201273995

Chicago Manual of Style (16th Edition):

McMichael, Scott Thomas. “Lane Detection for DEXTER, an Autonomous Robot, in the Urban Challenge.” 2008. Masters Thesis, Case Western Reserve University. Accessed August 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1201273995.

MLA Handbook (7th Edition):

McMichael, Scott Thomas. “Lane Detection for DEXTER, an Autonomous Robot, in the Urban Challenge.” 2008. Web. 20 Aug 2019.

Vancouver:

McMichael ST. Lane Detection for DEXTER, an Autonomous Robot, in the Urban Challenge. [Internet] [Masters thesis]. Case Western Reserve University; 2008. [cited 2019 Aug 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1201273995.

Council of Science Editors:

McMichael ST. Lane Detection for DEXTER, an Autonomous Robot, in the Urban Challenge. [Masters Thesis]. Case Western Reserve University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1201273995

20. Aarumugam, Bhupathi Rajan Guruswamy. Independent Domain of Symmetric Encryption using Least SignificantBit : Computer Vision, Steganography and Cryptography Techniques.

Degree: Computer Engineering, 2011, Dalarna University

  The rapid development of data transfer through internet made it easier to send the data accurate and faster to the destination. There are many… (more)

Subjects/Keywords: Image watermarking; LSB; Vigenere Square; AI Techniques; Computer Vision; Steganography and Cryptography

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APA (6th Edition):

Aarumugam, B. R. G. (2011). Independent Domain of Symmetric Encryption using Least SignificantBit : Computer Vision, Steganography and Cryptography Techniques. (Thesis). Dalarna University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:du-10063

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):

Aarumugam, Bhupathi Rajan Guruswamy. “Independent Domain of Symmetric Encryption using Least SignificantBit : Computer Vision, Steganography and Cryptography Techniques.” 2011. Thesis, Dalarna University. Accessed August 20, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:du-10063.

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

MLA Handbook (7th Edition):

Aarumugam, Bhupathi Rajan Guruswamy. “Independent Domain of Symmetric Encryption using Least SignificantBit : Computer Vision, Steganography and Cryptography Techniques.” 2011. Web. 20 Aug 2019.

Vancouver:

Aarumugam BRG. Independent Domain of Symmetric Encryption using Least SignificantBit : Computer Vision, Steganography and Cryptography Techniques. [Internet] [Thesis]. Dalarna University; 2011. [cited 2019 Aug 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-10063.

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

Council of Science Editors:

Aarumugam BRG. Independent Domain of Symmetric Encryption using Least SignificantBit : Computer Vision, Steganography and Cryptography Techniques. [Thesis]. Dalarna University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:du-10063

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

21. Sefid, Masoud Hoveidar. Autonomous Trail Following.

Degree: MASc - Master of Applied Science, Computer Engineering, 2018, York University

 Trails typically lack standard markers that characterize roadways. Nevertheless, trails are useful for off-road navigation. Here, trail following problem is approached by identifying the deviation… (more)

Subjects/Keywords: Robotics; Autonomous trail following; Robotics; Computer vision; Convolutional neural networks; Autonomous driving

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APA (6th Edition):

Sefid, M. H. (2018). Autonomous Trail Following. (Masters Thesis). York University. Retrieved from http://hdl.handle.net/10315/34504

Chicago Manual of Style (16th Edition):

Sefid, Masoud Hoveidar. “Autonomous Trail Following.” 2018. Masters Thesis, York University. Accessed August 20, 2019. http://hdl.handle.net/10315/34504.

MLA Handbook (7th Edition):

Sefid, Masoud Hoveidar. “Autonomous Trail Following.” 2018. Web. 20 Aug 2019.

Vancouver:

Sefid MH. Autonomous Trail Following. [Internet] [Masters thesis]. York University; 2018. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/10315/34504.

Council of Science Editors:

Sefid MH. Autonomous Trail Following. [Masters Thesis]. York University; 2018. Available from: http://hdl.handle.net/10315/34504


Rochester Institute of Technology

22. Hnatow, Justin. A theoretical eye model for uncalibrated real-time eye gaze estimation.

Degree: Computer Engineering, 2006, Rochester Institute of Technology

 Computer vision systems that monitor human activity can be utilized for many diverse applications. Some general applications stemming from such activity monitoring are surveillance, human-computer… (more)

Subjects/Keywords: Computer vision; Eye tracking; Gaze estimation

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

APA (6th Edition):

Hnatow, J. (2006). A theoretical eye model for uncalibrated real-time eye gaze estimation. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5506

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):

Hnatow, Justin. “A theoretical eye model for uncalibrated real-time eye gaze estimation.” 2006. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/5506.

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

MLA Handbook (7th Edition):

Hnatow, Justin. “A theoretical eye model for uncalibrated real-time eye gaze estimation.” 2006. Web. 20 Aug 2019.

Vancouver:

Hnatow J. A theoretical eye model for uncalibrated real-time eye gaze estimation. [Internet] [Thesis]. Rochester Institute of Technology; 2006. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/5506.

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

Council of Science Editors:

Hnatow J. A theoretical eye model for uncalibrated real-time eye gaze estimation. [Thesis]. Rochester Institute of Technology; 2006. Available from: https://scholarworks.rit.edu/theses/5506

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


Rochester Institute of Technology

23. Peri, Dheeraj Kumar. Multi-modal learning using deep neural networks.

Degree: MS, Computer Engineering, 2018, Rochester Institute of Technology

  Humans have an incredible ability to process and understand information from multiple sources such as images, video, text, and speech. Recent success of deep… (more)

Subjects/Keywords: Computer vision; Deep learning; Long short term memory; Metric learning; Natural language processing

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APA (6th Edition):

Peri, D. K. (2018). Multi-modal learning using deep neural networks. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9926

Chicago Manual of Style (16th Edition):

Peri, Dheeraj Kumar. “Multi-modal learning using deep neural networks.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/9926.

MLA Handbook (7th Edition):

Peri, Dheeraj Kumar. “Multi-modal learning using deep neural networks.” 2018. Web. 20 Aug 2019.

Vancouver:

Peri DK. Multi-modal learning using deep neural networks. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/9926.

Council of Science Editors:

Peri DK. Multi-modal learning using deep neural networks. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9926


San Jose State University

24. Ramesh, Rathna. Machine Learning Methods for Kidney Disease Screening.

Degree: MS, Computer Engineering, 2018, San Jose State University

  The number of people diagnosed with advanced stages of kidney disease has been rising every year. Early detection and constant monitoring are the only… (more)

Subjects/Keywords: computer vision; feature extraction; image processing; kidney disease monitor; machine learning; smart phone application

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APA (6th Edition):

Ramesh, R. (2018). Machine Learning Methods for Kidney Disease Screening. (Masters Thesis). San Jose State University. Retrieved from https://doi.org/10.31979/etd.hetg-6336 ; https://scholarworks.sjsu.edu/etd_theses/4951

Chicago Manual of Style (16th Edition):

Ramesh, Rathna. “Machine Learning Methods for Kidney Disease Screening.” 2018. Masters Thesis, San Jose State University. Accessed August 20, 2019. https://doi.org/10.31979/etd.hetg-6336 ; https://scholarworks.sjsu.edu/etd_theses/4951.

MLA Handbook (7th Edition):

Ramesh, Rathna. “Machine Learning Methods for Kidney Disease Screening.” 2018. Web. 20 Aug 2019.

Vancouver:

Ramesh R. Machine Learning Methods for Kidney Disease Screening. [Internet] [Masters thesis]. San Jose State University; 2018. [cited 2019 Aug 20]. Available from: https://doi.org/10.31979/etd.hetg-6336 ; https://scholarworks.sjsu.edu/etd_theses/4951.

Council of Science Editors:

Ramesh R. Machine Learning Methods for Kidney Disease Screening. [Masters Thesis]. San Jose State University; 2018. Available from: https://doi.org/10.31979/etd.hetg-6336 ; https://scholarworks.sjsu.edu/etd_theses/4951

25. Veon, Kevin. Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering.

Degree: MS, Computer Engineering, 2011, U of Denver

  Video stabilization removes unwanted motion from video sequences, often caused by vibrations or other instabilities. This improves video viewability and can aid in detection… (more)

Subjects/Keywords: Computer Vision Applications; Fuzzy Set Theory; Kalman Filtering; Motion Estimation; Scale-Invariant Feature Transform; Video Stabilization

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APA (6th Edition):

Veon, K. (2011). Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/675

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):

Veon, Kevin. “Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering.” 2011. Thesis, U of Denver. Accessed August 20, 2019. https://digitalcommons.du.edu/etd/675.

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

MLA Handbook (7th Edition):

Veon, Kevin. “Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering.” 2011. Web. 20 Aug 2019.

Vancouver:

Veon K. Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering. [Internet] [Thesis]. U of Denver; 2011. [cited 2019 Aug 20]. Available from: https://digitalcommons.du.edu/etd/675.

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

Council of Science Editors:

Veon K. Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering. [Thesis]. U of Denver; 2011. Available from: https://digitalcommons.du.edu/etd/675

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

26. Johnson, Andrew. Fragment Association Matching Enhancement (FAME) on a Video Tracker.

Degree: MSCE, Computer Engineering, 2014, Wright State University

 In the field of surveillance, algorithms are developed to extract meaningful information out of a video feed captured via a camera. One type of algorithm… (more)

Subjects/Keywords: Computer Engineering; Tracking, Computer Vision, Pattern Recognition

vision, and pattern recognition to describe the creation of the Fragment Association Matching… …object. In computer vision, this is called a false positive [25]. Fragment: is any… …describing the different tracking, computer vision, and pattern recognition techniques used in… …computer vision system, using adaptive thresholding was better than just defining a static… …implement some of the computer vision and pattern recognition algorithms [24]. The FAME… 

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APA (6th Edition):

Johnson, A. (2014). Fragment Association Matching Enhancement (FAME) on a Video Tracker. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1399465180

Chicago Manual of Style (16th Edition):

Johnson, Andrew. “Fragment Association Matching Enhancement (FAME) on a Video Tracker.” 2014. Masters Thesis, Wright State University. Accessed August 20, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1399465180.

MLA Handbook (7th Edition):

Johnson, Andrew. “Fragment Association Matching Enhancement (FAME) on a Video Tracker.” 2014. Web. 20 Aug 2019.

Vancouver:

Johnson A. Fragment Association Matching Enhancement (FAME) on a Video Tracker. [Internet] [Masters thesis]. Wright State University; 2014. [cited 2019 Aug 20]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1399465180.

Council of Science Editors:

Johnson A. Fragment Association Matching Enhancement (FAME) on a Video Tracker. [Masters Thesis]. Wright State University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1399465180


University of Tennessee – Knoxville

27. Bodkin, Bryan Hale. Real-Time Mobile Stereo Vision.

Degree: MS, Computer Engineering, 2012, University of Tennessee – Knoxville

  Computer stereo vision is used extract depth information from two aligned cameras and there are a number of hardware and software solutions to solve… (more)

Subjects/Keywords: Stereo; Vision; Real; Time; SSE; SIMD; OpenCV; Parallel; C++; Correspondence; Block; matching; Artificial Intelligence and Robotics; Robotics; Software Engineering

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APA (6th Edition):

Bodkin, B. H. (2012). Real-Time Mobile Stereo Vision. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/1313

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):

Bodkin, Bryan Hale. “Real-Time Mobile Stereo Vision.” 2012. Thesis, University of Tennessee – Knoxville. Accessed August 20, 2019. https://trace.tennessee.edu/utk_gradthes/1313.

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

MLA Handbook (7th Edition):

Bodkin, Bryan Hale. “Real-Time Mobile Stereo Vision.” 2012. Web. 20 Aug 2019.

Vancouver:

Bodkin BH. Real-Time Mobile Stereo Vision. [Internet] [Thesis]. University of Tennessee – Knoxville; 2012. [cited 2019 Aug 20]. Available from: https://trace.tennessee.edu/utk_gradthes/1313.

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

Council of Science Editors:

Bodkin BH. Real-Time Mobile Stereo Vision. [Thesis]. University of Tennessee – Knoxville; 2012. Available from: https://trace.tennessee.edu/utk_gradthes/1313

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

28. Delay, Benjamin L. Machine learning techniques for identifying railroad ballast degradation.

Degree: MS, Computer Engineering, 2016, University of Illinois – Urbana-Champaign

 Railroad ballast is a layer of uniform sized crushed aggregate particles placed between, below and around the crossties. Railroad ballast transfers the load from crossties… (more)

Subjects/Keywords: Machine Learning; Ballast Degradation; Computer Vision

…work done by the Civil Engineering Department and Beckman Computer Vision group at the… …contrast, the main approach taken by this research is to use machine vision and machine learning… …vision and learning techniques to serve as a fast, repeatable, consistent metric by which to… …Initially, it was thought that using some rather well known computer vision algorithms, it was… 

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APA (6th Edition):

Delay, B. L. (2016). Machine learning techniques for identifying railroad ballast degradation. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/95416

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):

Delay, Benjamin L. “Machine learning techniques for identifying railroad ballast degradation.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed August 20, 2019. http://hdl.handle.net/2142/95416.

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

MLA Handbook (7th Edition):

Delay, Benjamin L. “Machine learning techniques for identifying railroad ballast degradation.” 2016. Web. 20 Aug 2019.

Vancouver:

Delay BL. Machine learning techniques for identifying railroad ballast degradation. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Aug 20]. Available from: http://hdl.handle.net/2142/95416.

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

Council of Science Editors:

Delay BL. Machine learning techniques for identifying railroad ballast degradation. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/95416

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

29. Quraishi, Mohammad Faiz. Performance Analysis of Tracking on Mobile Devices using Local Binary Descriptors.

Degree: MS, Computer Engineering, 2014, Rochester Institute of Technology

  With the growing ubiquity of mobile devices, users are turning to their smartphones and tablets to perform more complex tasks than ever before. Performing… (more)

Subjects/Keywords: Android; Binary vision; Mobile; Object tracking; Smartphone

Vision presents another interesting opportunity for mobile devices, as their form factor and… …In addition, mobile object tracking can be used to assist those with low vision, as seen in… …individuals affected with blind spots or tunnel vision could see them. Billinghurst et al. all… …greatly improve the usability and reduce the cost of computer vision in medicine. In addition to… …flesh tones for low vision assistance on a mobile Android device. This approach produced… 

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APA (6th Edition):

Quraishi, M. F. (2014). Performance Analysis of Tracking on Mobile Devices using Local Binary Descriptors. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/7873

Chicago Manual of Style (16th Edition):

Quraishi, Mohammad Faiz. “Performance Analysis of Tracking on Mobile Devices using Local Binary Descriptors.” 2014. Masters Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/7873.

MLA Handbook (7th Edition):

Quraishi, Mohammad Faiz. “Performance Analysis of Tracking on Mobile Devices using Local Binary Descriptors.” 2014. Web. 20 Aug 2019.

Vancouver:

Quraishi MF. Performance Analysis of Tracking on Mobile Devices using Local Binary Descriptors. [Internet] [Masters thesis]. Rochester Institute of Technology; 2014. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/7873.

Council of Science Editors:

Quraishi MF. Performance Analysis of Tracking on Mobile Devices using Local Binary Descriptors. [Masters Thesis]. Rochester Institute of Technology; 2014. Available from: https://scholarworks.rit.edu/theses/7873


Rochester Institute of Technology

30. Kurdziel, Michael Scott. A monocular color vision system for road intersection detection.

Degree: Computer Engineering, 2008, Rochester Institute of Technology

 Urban driving has become the focus of autonomous robotics in recent years. Many groups seek to benefit from the research in this field including the… (more)

Subjects/Keywords: Autonomous robotics; Computer vision; Intersection detection; Road detection

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APA (6th Edition):

Kurdziel, M. S. (2008). A monocular color vision system for road intersection detection. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/3202

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):

Kurdziel, Michael Scott. “A monocular color vision system for road intersection detection.” 2008. Thesis, Rochester Institute of Technology. Accessed August 20, 2019. https://scholarworks.rit.edu/theses/3202.

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

MLA Handbook (7th Edition):

Kurdziel, Michael Scott. “A monocular color vision system for road intersection detection.” 2008. Web. 20 Aug 2019.

Vancouver:

Kurdziel MS. A monocular color vision system for road intersection detection. [Internet] [Thesis]. Rochester Institute of Technology; 2008. [cited 2019 Aug 20]. Available from: https://scholarworks.rit.edu/theses/3202.

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

Council of Science Editors:

Kurdziel MS. A monocular color vision system for road intersection detection. [Thesis]. Rochester Institute of Technology; 2008. Available from: https://scholarworks.rit.edu/theses/3202

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

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