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You searched for +publisher:"Georgia Tech" +contributor:("Yezzi, Anthony"). Showing records 1 – 30 of 85 total matches.

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Georgia Tech

1. Desai, Akshata Arvind. Asphalt pavement crack detection and classification using deep convolutional neural networks.

Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech

 The Georgia Department of Transport (GDOT) maintains around 12,000 miles of interstate roadways. Annual pavement surveys are conducted to report the condition of the pavement.… (more)

Subjects/Keywords: Convolutional neural networks; COPACES; Faster RCNN; Georgia Department of Transport; Crack fundamental element; Crack severity; Crack extent

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APA (6th Edition):

Desai, A. A. (2020). Asphalt pavement crack detection and classification using deep convolutional neural networks. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63693

Chicago Manual of Style (16th Edition):

Desai, Akshata Arvind. “Asphalt pavement crack detection and classification using deep convolutional neural networks.” 2020. Masters Thesis, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/63693.

MLA Handbook (7th Edition):

Desai, Akshata Arvind. “Asphalt pavement crack detection and classification using deep convolutional neural networks.” 2020. Web. 05 Mar 2021.

Vancouver:

Desai AA. Asphalt pavement crack detection and classification using deep convolutional neural networks. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/63693.

Council of Science Editors:

Desai AA. Asphalt pavement crack detection and classification using deep convolutional neural networks. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63693


Georgia Tech

2. Costello, Zachary Kohl. Distributed computation in networked systems.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of this thesis is to develop a theoretical understanding of computation in networked dynamical systems and demonstrate practical applications supported by the theory.… (more)

Subjects/Keywords: Networked control; Nonlinear control; Distributed computation

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APA (6th Edition):

Costello, Z. K. (2016). Distributed computation in networked systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54924

Chicago Manual of Style (16th Edition):

Costello, Zachary Kohl. “Distributed computation in networked systems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/54924.

MLA Handbook (7th Edition):

Costello, Zachary Kohl. “Distributed computation in networked systems.” 2016. Web. 05 Mar 2021.

Vancouver:

Costello ZK. Distributed computation in networked systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/54924.

Council of Science Editors:

Costello ZK. Distributed computation in networked systems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/54924


Georgia Tech

3. Wang, Sen. Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.

Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech

 Chinese calligraphy is a unique art form with great artistic value but difficult to master. In this thesis, we formulate the calligraphy writing problem as… (more)

Subjects/Keywords: Motion and Path Planning; Optimization and Optimal Control; Modeling, Control, and Learning for Soft Robots

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APA (6th Edition):

Wang, S. (2020). Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64143

Chicago Manual of Style (16th Edition):

Wang, Sen. “Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.” 2020. Masters Thesis, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/64143.

MLA Handbook (7th Edition):

Wang, Sen. “Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model.” 2020. Web. 05 Mar 2021.

Vancouver:

Wang S. Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/64143.

Council of Science Editors:

Wang S. Robot Calligraphy using Pseudospectral Optimal Control in Conjunction with a Novel Dynamic Brush Model. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64143

4. El Hafidi, Badr. Real time detection of traffic signs.

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

 The objective of this research project is to develop a high-performance real-time algorithm for traffic sign detection using a colorful image. The detection of traffic… (more)

Subjects/Keywords: HSV; Traffic sign; Detection; Color segmentation; Shape recognition; Multiprocessing; Region growing; Real time

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APA (6th Edition):

El Hafidi, B. (2018). Real time detection of traffic signs. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60826

Chicago Manual of Style (16th Edition):

El Hafidi, Badr. “Real time detection of traffic signs.” 2018. Masters Thesis, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/60826.

MLA Handbook (7th Edition):

El Hafidi, Badr. “Real time detection of traffic signs.” 2018. Web. 05 Mar 2021.

Vancouver:

El Hafidi B. Real time detection of traffic signs. [Internet] [Masters thesis]. Georgia Tech; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/60826.

Council of Science Editors:

El Hafidi B. Real time detection of traffic signs. [Masters Thesis]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60826


Georgia Tech

5. Ali, Ashar. 3D human pose estimation.

Degree: MS, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of the proposed work is to understand how using synthetic datasets and automatic annotation policies can further state of the art research for… (more)

Subjects/Keywords: 3D computer vision; Human pose estimation; Point cloud processing; Deep learning on point clouds

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APA (6th Edition):

Ali, A. (2019). 3D human pose estimation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61286

Chicago Manual of Style (16th Edition):

Ali, Ashar. “3D human pose estimation.” 2019. Masters Thesis, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/61286.

MLA Handbook (7th Edition):

Ali, Ashar. “3D human pose estimation.” 2019. Web. 05 Mar 2021.

Vancouver:

Ali A. 3D human pose estimation. [Internet] [Masters thesis]. Georgia Tech; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/61286.

Council of Science Editors:

Ali A. 3D human pose estimation. [Masters Thesis]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61286


Georgia Tech

6. Zhao, Yipu. Improving the applicability of visual SLAM with submodular submatrix selection.

Degree: PhD, Electrical and Computer Engineering, 2019, Georgia Tech

 The objective of the thesis is to improve the applicability of Visual Simultaneous Localization and Mapping (VSLAM) on diverse platforms and scenarios, which has broad… (more)

Subjects/Keywords: SLAM; Submatrix selection

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APA (6th Edition):

Zhao, Y. (2019). Improving the applicability of visual SLAM with submodular submatrix selection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62276

Chicago Manual of Style (16th Edition):

Zhao, Yipu. “Improving the applicability of visual SLAM with submodular submatrix selection.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/62276.

MLA Handbook (7th Edition):

Zhao, Yipu. “Improving the applicability of visual SLAM with submodular submatrix selection.” 2019. Web. 05 Mar 2021.

Vancouver:

Zhao Y. Improving the applicability of visual SLAM with submodular submatrix selection. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/62276.

Council of Science Editors:

Zhao Y. Improving the applicability of visual SLAM with submodular submatrix selection. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62276


Georgia Tech

7. Griffith, Shane David. Map-centric visual data association across seasons in a natural environment.

Degree: PhD, Interactive Computing, 2019, Georgia Tech

 Vision is one of the primary sensory modalities of animals and robots, yet among robots it still has limited power in natural environments. Dynamic processes… (more)

Subjects/Keywords: Visual surveys; Visual data association; SLAM; Multi-session SLAM; Dense correspondence

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APA (6th Edition):

Griffith, S. D. (2019). Map-centric visual data association across seasons in a natural environment. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62305

Chicago Manual of Style (16th Edition):

Griffith, Shane David. “Map-centric visual data association across seasons in a natural environment.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/62305.

MLA Handbook (7th Edition):

Griffith, Shane David. “Map-centric visual data association across seasons in a natural environment.” 2019. Web. 05 Mar 2021.

Vancouver:

Griffith SD. Map-centric visual data association across seasons in a natural environment. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/62305.

Council of Science Editors:

Griffith SD. Map-centric visual data association across seasons in a natural environment. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62305


Georgia Tech

8. Shih, Ping-Chang. Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states.

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

 In this thesis, an innovative algorithm for improving the accuracy of variational space-time stereoscopic reconstruction of ocean surfaces is presented. The space-time reconstruction method, developed… (more)

Subjects/Keywords: Stereo computer vision; Camera calibration; 3-D reconstruction; Variational

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APA (6th Edition):

Shih, P. (2014). Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52320

Chicago Manual of Style (16th Edition):

Shih, Ping-Chang. “Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/52320.

MLA Handbook (7th Edition):

Shih, Ping-Chang. “Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states.” 2014. Web. 05 Mar 2021.

Vancouver:

Shih P. Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/52320.

Council of Science Editors:

Shih P. Joint variational camera calibration refinement and 4-D stereo reconstruction applied to oceanic sea states. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52320


Georgia Tech

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

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

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Raza, Syed H. “Temporally consistent semantic segmentation in videos.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/53455.

MLA Handbook (7th Edition):

Raza, Syed H. “Temporally consistent semantic segmentation in videos.” 2014. Web. 05 Mar 2021.

Vancouver:

Raza SH. Temporally consistent semantic segmentation in videos. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/53455.

Council of Science Editors:

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


Georgia Tech

10. Ai, Chengbo. A Sensing Methodology for an Intelligent Traffic Sign Inventory and Condition Assessment Using GPS/GIS, Computer Vision and Mobile LiDAR Technologies.

Degree: PhD, Civil and Environmental Engineering, 2013, Georgia Tech

 Traffic signs, which transportation agencies must inventory and manage, are one of the most important roadway assets because they are used to ensure roadway safety… (more)

Subjects/Keywords: Traffic sign management; Asset management; LiDAR retro-intensity; Image processing

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APA (6th Edition):

Ai, C. (2013). A Sensing Methodology for an Intelligent Traffic Sign Inventory and Condition Assessment Using GPS/GIS, Computer Vision and Mobile LiDAR Technologies. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53643

Chicago Manual of Style (16th Edition):

Ai, Chengbo. “A Sensing Methodology for an Intelligent Traffic Sign Inventory and Condition Assessment Using GPS/GIS, Computer Vision and Mobile LiDAR Technologies.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/53643.

MLA Handbook (7th Edition):

Ai, Chengbo. “A Sensing Methodology for an Intelligent Traffic Sign Inventory and Condition Assessment Using GPS/GIS, Computer Vision and Mobile LiDAR Technologies.” 2013. Web. 05 Mar 2021.

Vancouver:

Ai C. A Sensing Methodology for an Intelligent Traffic Sign Inventory and Condition Assessment Using GPS/GIS, Computer Vision and Mobile LiDAR Technologies. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/53643.

Council of Science Editors:

Ai C. A Sensing Methodology for an Intelligent Traffic Sign Inventory and Condition Assessment Using GPS/GIS, Computer Vision and Mobile LiDAR Technologies. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/53643


Georgia Tech

11. Diaz-Mercado, Yancy J. Interactions in multi-robot systems.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The objective of this research is to develop a framework for multi-robot coordination and control with emphasis on human-swarm and inter-agent interactions. We focus on… (more)

Subjects/Keywords: Multi-robot control; Human-swarm interactions; Coverage control; Coverage of time-varying density functions; Braids; Multi-robot mixing; Inter-robot interactions; Mixing limit; Symbolic motion planning

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APA (6th Edition):

Diaz-Mercado, Y. J. (2016). Interactions in multi-robot systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55020

Chicago Manual of Style (16th Edition):

Diaz-Mercado, Yancy J. “Interactions in multi-robot systems.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/55020.

MLA Handbook (7th Edition):

Diaz-Mercado, Yancy J. “Interactions in multi-robot systems.” 2016. Web. 05 Mar 2021.

Vancouver:

Diaz-Mercado YJ. Interactions in multi-robot systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/55020.

Council of Science Editors:

Diaz-Mercado YJ. Interactions in multi-robot systems. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55020


Georgia Tech

12. Ali, Usman. Optimal control of constrained hybrid dynamical systems: Theory, computation and applications.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 Hybrid dynamical systems arise in a number of application areas such as power converters, autopilots, manufacturing, process control, hybrid cars, mobile and humanoid robotics etc.,… (more)

Subjects/Keywords: Hybrid systems; Switched systems; Hybrid dynamical systems; Optimal control; Hybrid optimal control; Dwell time; Constrained hybrid optimal control; Co-optimization; Precision agriculture; Optimal pesticide scheduling; Multiple shooting

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APA (6th Edition):

Ali, U. (2016). Optimal control of constrained hybrid dynamical systems: Theory, computation and applications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55670

Chicago Manual of Style (16th Edition):

Ali, Usman. “Optimal control of constrained hybrid dynamical systems: Theory, computation and applications.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/55670.

MLA Handbook (7th Edition):

Ali, Usman. “Optimal control of constrained hybrid dynamical systems: Theory, computation and applications.” 2016. Web. 05 Mar 2021.

Vancouver:

Ali U. Optimal control of constrained hybrid dynamical systems: Theory, computation and applications. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/55670.

Council of Science Editors:

Ali U. Optimal control of constrained hybrid dynamical systems: Theory, computation and applications. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55670


Georgia Tech

13. Beall, Christopher Allan. Appearance-based vehicle localization across seasons in a metric map.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 Great strides have been made in recent years in developing the necessary technologies to make autonomous cars a reality. However, a number of challenges remain,… (more)

Subjects/Keywords: Vehicle localization; Robotics; Computer vision; SLAM

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APA (6th Edition):

Beall, C. A. (2016). Appearance-based vehicle localization across seasons in a metric map. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55684

Chicago Manual of Style (16th Edition):

Beall, Christopher Allan. “Appearance-based vehicle localization across seasons in a metric map.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/55684.

MLA Handbook (7th Edition):

Beall, Christopher Allan. “Appearance-based vehicle localization across seasons in a metric map.” 2016. Web. 05 Mar 2021.

Vancouver:

Beall CA. Appearance-based vehicle localization across seasons in a metric map. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/55684.

Council of Science Editors:

Beall CA. Appearance-based vehicle localization across seasons in a metric map. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55684


Georgia Tech

14. Temel, Dogancan. Understanding perceived quality through visual representations.

Degree: PhD, Electrical and Computer Engineering, 2016, Georgia Tech

 The formatting of images can be considered as an optimization problem, whose cost function is a quality assessment algorithm. There is a trade-off between bit… (more)

Subjects/Keywords: Perceived quality; Visual system; Contrast sensitivity; Suppression; Color perception; Color name; Color difference; Unsupervised learning; Spatial pooling; Boosting

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APA (6th Edition):

Temel, D. (2016). Understanding perceived quality through visual representations. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/56289

Chicago Manual of Style (16th Edition):

Temel, Dogancan. “Understanding perceived quality through visual representations.” 2016. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/56289.

MLA Handbook (7th Edition):

Temel, Dogancan. “Understanding perceived quality through visual representations.” 2016. Web. 05 Mar 2021.

Vancouver:

Temel D. Understanding perceived quality through visual representations. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/56289.

Council of Science Editors:

Temel D. Understanding perceived quality through visual representations. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/56289


Georgia Tech

15. Chu, Fu-Jen. Improving vision-based robotic manipulation with affordance understanding.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 The objective of the thesis is to improve robotic manipulation via vision-based affordance understanding, which would advance the application of robotics to industrial use cases,… (more)

Subjects/Keywords: Robotics; Vision; Deep learning; Affordance; Domain adaptation; Grasp; Grasping; Synthetic data

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APA (6th Edition):

Chu, F. (2020). Improving vision-based robotic manipulation with affordance understanding. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/63687

Chicago Manual of Style (16th Edition):

Chu, Fu-Jen. “Improving vision-based robotic manipulation with affordance understanding.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/63687.

MLA Handbook (7th Edition):

Chu, Fu-Jen. “Improving vision-based robotic manipulation with affordance understanding.” 2020. Web. 05 Mar 2021.

Vancouver:

Chu F. Improving vision-based robotic manipulation with affordance understanding. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/63687.

Council of Science Editors:

Chu F. Improving vision-based robotic manipulation with affordance understanding. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/63687


Georgia Tech

16. Fan, Yifei. Modeling Natural-Image Spaces for Single-Label Image Classification & Photo-Realistic Style Transfer and Directionally Paired Principal Component Analysis for the Estimation of Coupled Data.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 Despite the tremendous success of machine learning and data-driven approaches in the past decade, machine perception is much less robust and explainable compared to human… (more)

Subjects/Keywords: Machine learning; Machine perception; Knowledge and epistemology; Single-label classification; Adversarial examples; Photo-realistic style transfer; Principal component analysis

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APA (6th Edition):

Fan, Y. (2020). Modeling Natural-Image Spaces for Single-Label Image Classification & Photo-Realistic Style Transfer and Directionally Paired Principal Component Analysis for the Estimation of Coupled Data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64073

Chicago Manual of Style (16th Edition):

Fan, Yifei. “Modeling Natural-Image Spaces for Single-Label Image Classification & Photo-Realistic Style Transfer and Directionally Paired Principal Component Analysis for the Estimation of Coupled Data.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/64073.

MLA Handbook (7th Edition):

Fan, Yifei. “Modeling Natural-Image Spaces for Single-Label Image Classification & Photo-Realistic Style Transfer and Directionally Paired Principal Component Analysis for the Estimation of Coupled Data.” 2020. Web. 05 Mar 2021.

Vancouver:

Fan Y. Modeling Natural-Image Spaces for Single-Label Image Classification & Photo-Realistic Style Transfer and Directionally Paired Principal Component Analysis for the Estimation of Coupled Data. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/64073.

Council of Science Editors:

Fan Y. Modeling Natural-Image Spaces for Single-Label Image Classification & Photo-Realistic Style Transfer and Directionally Paired Principal Component Analysis for the Estimation of Coupled Data. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64073


Georgia Tech

17. Friedlander, Robert Daniel. Thin Lens-Based Geometric Surface Inversion for Multiview Stereo.

Degree: PhD, Electrical and Computer Engineering, 2020, Georgia Tech

 Current state-of-the-art multiview reconstruction methods are founded on a pinhole camera model that assumes perfectly focused images and thus fail when given defocused image data.… (more)

Subjects/Keywords: Multiview reconstruction; Variational methods; Thin lens model; Image irradiance

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APA (6th Edition):

Friedlander, R. D. (2020). Thin Lens-Based Geometric Surface Inversion for Multiview Stereo. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/64140

Chicago Manual of Style (16th Edition):

Friedlander, Robert Daniel. “Thin Lens-Based Geometric Surface Inversion for Multiview Stereo.” 2020. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/64140.

MLA Handbook (7th Edition):

Friedlander, Robert Daniel. “Thin Lens-Based Geometric Surface Inversion for Multiview Stereo.” 2020. Web. 05 Mar 2021.

Vancouver:

Friedlander RD. Thin Lens-Based Geometric Surface Inversion for Multiview Stereo. [Internet] [Doctoral dissertation]. Georgia Tech; 2020. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/64140.

Council of Science Editors:

Friedlander RD. Thin Lens-Based Geometric Surface Inversion for Multiview Stereo. [Doctoral Dissertation]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/64140

18. Hwang, Jin Ha. Vision-based autonomous navigation in medium level representation.

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

 Autonomous navigation for a mobile robot is required to operate in cluttered, unstruc- tured environment at high speeds with efficient data gathering. Given the payload… (more)

Subjects/Keywords: Autonomous navigation; Computer vision; Path planning; Robotics

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APA (6th Edition):

Hwang, J. H. (2017). Vision-based autonomous navigation in medium level representation. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59286

Chicago Manual of Style (16th Edition):

Hwang, Jin Ha. “Vision-based autonomous navigation in medium level representation.” 2017. Masters Thesis, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/59286.

MLA Handbook (7th Edition):

Hwang, Jin Ha. “Vision-based autonomous navigation in medium level representation.” 2017. Web. 05 Mar 2021.

Vancouver:

Hwang JH. Vision-based autonomous navigation in medium level representation. [Internet] [Masters thesis]. Georgia Tech; 2017. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/59286.

Council of Science Editors:

Hwang JH. Vision-based autonomous navigation in medium level representation. [Masters Thesis]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/59286


Georgia Tech

19. Kothari, Sonal. Developing image informatics methods for histopathological computer-aided decision support systems.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 This dissertation focuses on developing imaging informatics algorithms for clinical decision support systems (CDSSs) based on histopathological whole-slide images (WSIs). Currently, histopathological analysis is a… (more)

Subjects/Keywords: Imaging informatics; Decision support systems; Histopathological analysis; Image segmentation; Image classification; Visual analytics

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APA (6th Edition):

Kothari, S. (2013). Developing image informatics methods for histopathological computer-aided decision support systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52942

Chicago Manual of Style (16th Edition):

Kothari, Sonal. “Developing image informatics methods for histopathological computer-aided decision support systems.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/52942.

MLA Handbook (7th Edition):

Kothari, Sonal. “Developing image informatics methods for histopathological computer-aided decision support systems.” 2013. Web. 05 Mar 2021.

Vancouver:

Kothari S. Developing image informatics methods for histopathological computer-aided decision support systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/52942.

Council of Science Editors:

Kothari S. Developing image informatics methods for histopathological computer-aided decision support systems. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/52942


Georgia Tech

20. Gallego Bonet, Guillermo. Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 A novel video observational method for the space-time stereoscopic reconstruction of dynamic surfaces representable as graphs, such as ocean waves, is developed. Variational optimization algorithms… (more)

Subjects/Keywords: Multigrid methods; Marine technology; Remote sensing; Image processing; Stereo vision; Ocean waves; Variational methods; Imaging systems; Water waves

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APA (6th Edition):

Gallego Bonet, G. (2011). Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39480

Chicago Manual of Style (16th Edition):

Gallego Bonet, Guillermo. “Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves.” 2011. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/39480.

MLA Handbook (7th Edition):

Gallego Bonet, Guillermo. “Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves.” 2011. Web. 05 Mar 2021.

Vancouver:

Gallego Bonet G. Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/39480.

Council of Science Editors:

Gallego Bonet G. Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/39480


Georgia Tech

21. Sharma, Yachna. Surgical skill assessment using motion texture analysis.

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

 In this thesis, we propose a framework for automated assessment of surgical skills to expedite the manual assessment process and to provide unbiased evaluations with… (more)

Subjects/Keywords: Surgery; Skill; Classification; Prediction; Motion texture; Surgeons Rating of; Motion; Motor ability; Tactile sensors; Algorithms

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APA (6th Edition):

Sharma, Y. (2014). Surgical skill assessment using motion texture analysis. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/51890

Chicago Manual of Style (16th Edition):

Sharma, Yachna. “Surgical skill assessment using motion texture analysis.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/51890.

MLA Handbook (7th Edition):

Sharma, Yachna. “Surgical skill assessment using motion texture analysis.” 2014. Web. 05 Mar 2021.

Vancouver:

Sharma Y. Surgical skill assessment using motion texture analysis. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/51890.

Council of Science Editors:

Sharma Y. Surgical skill assessment using motion texture analysis. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/51890


Georgia Tech

22. Ruf, Sebastian Felix. A control theoretic perspective on social networks.

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

 This thesis discusses the application of control theory to the study of complex networks, drawing inspiration from the behavior of social networks. There are three… (more)

Subjects/Keywords: Control theory; Social networks; Network science

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APA (6th Edition):

Ruf, S. F. (2018). A control theoretic perspective on social networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/59915

Chicago Manual of Style (16th Edition):

Ruf, Sebastian Felix. “A control theoretic perspective on social networks.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/59915.

MLA Handbook (7th Edition):

Ruf, Sebastian Felix. “A control theoretic perspective on social networks.” 2018. Web. 05 Mar 2021.

Vancouver:

Ruf SF. A control theoretic perspective on social networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/59915.

Council of Science Editors:

Ruf SF. A control theoretic perspective on social networks. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/59915


Georgia Tech

23. Serrano, Miguel M. RAPTr: Robust articulated point-set tracking.

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

 The objective of this work is to present the Robust Articulated Point-set Tracking (RAPTr) system. It works by synthesizing components from articulated model-based and machine… (more)

Subjects/Keywords: Human pose estimation; Machine learning; Clinical gait metrics; Infant pose estimation

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APA (6th Edition):

Serrano, M. M. (2018). RAPTr: Robust articulated point-set tracking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60730

Chicago Manual of Style (16th Edition):

Serrano, Miguel M. “RAPTr: Robust articulated point-set tracking.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/60730.

MLA Handbook (7th Edition):

Serrano, Miguel M. “RAPTr: Robust articulated point-set tracking.” 2018. Web. 05 Mar 2021.

Vancouver:

Serrano MM. RAPTr: Robust articulated point-set tracking. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/60730.

Council of Science Editors:

Serrano MM. RAPTr: Robust articulated point-set tracking. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60730


Georgia Tech

24. Jiang, Chenglong. A crack detection and diagnosis methodology for automated pavement condition evaluation.

Degree: PhD, Civil and Environmental Engineering, 2015, Georgia Tech

 Pavement cracks are one of the most common pavement surface distresses. Traditionally, pavement crack evaluation is conducted manually through a human field survey, which is… (more)

Subjects/Keywords: Pavement condition evaluation; Crack detection; Crack classification

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APA (6th Edition):

Jiang, C. (2015). A crack detection and diagnosis methodology for automated pavement condition evaluation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55524

Chicago Manual of Style (16th Edition):

Jiang, Chenglong. “A crack detection and diagnosis methodology for automated pavement condition evaluation.” 2015. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/55524.

MLA Handbook (7th Edition):

Jiang, Chenglong. “A crack detection and diagnosis methodology for automated pavement condition evaluation.” 2015. Web. 05 Mar 2021.

Vancouver:

Jiang C. A crack detection and diagnosis methodology for automated pavement condition evaluation. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/55524.

Council of Science Editors:

Jiang C. A crack detection and diagnosis methodology for automated pavement condition evaluation. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/55524

25. Sconyers, Christopher. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 Research in the areas of target detection, tracking, and geo-location is most important for enabling an unmanned aerial vehicle (UAV) platform to autonomously execute a… (more)

Subjects/Keywords: Rotorcraft; Localization; Monte Carlo; Particle filter; Multi-modal; State space; Observer; Gimbal; Markov; Drone aircraft; Target acquisition

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APA (6th Edition):

Sconyers, C. (2013). Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47734

Chicago Manual of Style (16th Edition):

Sconyers, Christopher. “Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/47734.

MLA Handbook (7th Edition):

Sconyers, Christopher. “Particle filter-based architecture for video target tracking and geo-location using multiple UAVs.” 2013. Web. 05 Mar 2021.

Vancouver:

Sconyers C. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/47734.

Council of Science Editors:

Sconyers C. Particle filter-based architecture for video target tracking and geo-location using multiple UAVs. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/47734

26. Al Marzouqi, Hasan. Curvelet transform with adaptive tiling.

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

 In this dissertation we address the problem of adapting frequency domain tiling using the curvelet transform as the basis algorithm. The optimal tiling, for a… (more)

Subjects/Keywords: Curvelet; Wavelet; Denoising; Compressed sensing; Texture

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APA (6th Edition):

Al Marzouqi, H. (2014). Curvelet transform with adaptive tiling. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/52961

Chicago Manual of Style (16th Edition):

Al Marzouqi, Hasan. “Curvelet transform with adaptive tiling.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/52961.

MLA Handbook (7th Edition):

Al Marzouqi, Hasan. “Curvelet transform with adaptive tiling.” 2014. Web. 05 Mar 2021.

Vancouver:

Al Marzouqi H. Curvelet transform with adaptive tiling. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/52961.

Council of Science Editors:

Al Marzouqi H. Curvelet transform with adaptive tiling. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/52961

27. Abbas, Waseem. Network-centric methods for heterogeneous multiagent systems.

Degree: PhD, Electrical and Computer Engineering, 2013, Georgia Tech

 We present tools for a network topology based characterization of heterogeneity in multiagent systems, thereby providing a framework for the analysis and design of heterogeneous… (more)

Subjects/Keywords: Multiagent systems; Network topology; Distributed systems; Graph-theoretic methods; Multiagent systems; Electric network topology

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APA (6th Edition):

Abbas, W. (2013). Network-centric methods for heterogeneous multiagent systems. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50400

Chicago Manual of Style (16th Edition):

Abbas, Waseem. “Network-centric methods for heterogeneous multiagent systems.” 2013. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/50400.

MLA Handbook (7th Edition):

Abbas, Waseem. “Network-centric methods for heterogeneous multiagent systems.” 2013. Web. 05 Mar 2021.

Vancouver:

Abbas W. Network-centric methods for heterogeneous multiagent systems. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/50400.

Council of Science Editors:

Abbas W. Network-centric methods for heterogeneous multiagent systems. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50400

28. Williams, Stephen Vincent. Visual arctic navigation: techniques for autonomous agents in glacial environments.

Degree: PhD, Electrical and Computer Engineering, 2011, Georgia Tech

 Arctic regions are thought to be more sensitive to climate change fluctuations, making weather data from these regions more valuable for climate modeling. Scientists have… (more)

Subjects/Keywords: Autonomous navigation; SLAM; Sensor networks; Field robotics; Arctic; Computer vision; Intelligent agents (Computer software); Robots Motion Cold weather conditions; Sensor networks; Algorithms; Arctic regions

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APA (6th Edition):

Williams, S. V. (2011). Visual arctic navigation: techniques for autonomous agents in glacial environments. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/41135

Chicago Manual of Style (16th Edition):

Williams, Stephen Vincent. “Visual arctic navigation: techniques for autonomous agents in glacial environments.” 2011. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/41135.

MLA Handbook (7th Edition):

Williams, Stephen Vincent. “Visual arctic navigation: techniques for autonomous agents in glacial environments.” 2011. Web. 05 Mar 2021.

Vancouver:

Williams SV. Visual arctic navigation: techniques for autonomous agents in glacial environments. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/41135.

Council of Science Editors:

Williams SV. Visual arctic navigation: techniques for autonomous agents in glacial environments. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/41135

29. Memon, Abdul Basit. Graceful connections in dynamical systems – an approach to gait transitions in robotics.

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

 Gaits have become an integral part of the design method of robots heading to complex terrains. But research into optimal ways to transition between different… (more)

Subjects/Keywords: Robotics; Gait transitions; Graceful connections; Optimal control; Gluskabi raccordations; Persistence of behavior

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APA (6th Edition):

Memon, A. B. (2014). Graceful connections in dynamical systems – an approach to gait transitions in robotics. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53486

Chicago Manual of Style (16th Edition):

Memon, Abdul Basit. “Graceful connections in dynamical systems – an approach to gait transitions in robotics.” 2014. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/53486.

MLA Handbook (7th Edition):

Memon, Abdul Basit. “Graceful connections in dynamical systems – an approach to gait transitions in robotics.” 2014. Web. 05 Mar 2021.

Vancouver:

Memon AB. Graceful connections in dynamical systems – an approach to gait transitions in robotics. [Internet] [Doctoral dissertation]. Georgia Tech; 2014. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/53486.

Council of Science Editors:

Memon AB. Graceful connections in dynamical systems – an approach to gait transitions in robotics. [Doctoral Dissertation]. Georgia Tech; 2014. Available from: http://hdl.handle.net/1853/53486

30. Dixon, Jason Herbert. Pattern-theoretic automatic target recognition for infrared and laser radar data.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 Pattern theory, a mathematical framework for representing knowledge of complex patterns developed by applied mathematician Ulf Grenander, has been shown to have potential uses in… (more)

Subjects/Keywords: Automatic target recognition; Infrared; Laser radar; Pattern theory; Cramér-Rao bounds

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APA (6th Edition):

Dixon, J. H. (2015). Pattern-theoretic automatic target recognition for infrared and laser radar data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/54404

Chicago Manual of Style (16th Edition):

Dixon, Jason Herbert. “Pattern-theoretic automatic target recognition for infrared and laser radar data.” 2015. Doctoral Dissertation, Georgia Tech. Accessed March 05, 2021. http://hdl.handle.net/1853/54404.

MLA Handbook (7th Edition):

Dixon, Jason Herbert. “Pattern-theoretic automatic target recognition for infrared and laser radar data.” 2015. Web. 05 Mar 2021.

Vancouver:

Dixon JH. Pattern-theoretic automatic target recognition for infrared and laser radar data. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2021 Mar 05]. Available from: http://hdl.handle.net/1853/54404.

Council of Science Editors:

Dixon JH. Pattern-theoretic automatic target recognition for infrared and laser radar data. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/54404

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