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You searched for +publisher:"Georgia Tech" +contributor:("Tannenbaum, Allen"). Showing records 1 – 30 of 35 total matches.

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Georgia Tech

1. 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 September 23, 2019. 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. 23 Sep 2019.

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 2019 Sep 23]. 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

2. Mohan, Vandana. Computer vision and machine learning methods for the analysis of brain and cardiac imagery.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 Medical imagery is increasingly evolving towards higher resolution and throughput. The increasing volume of data and the usage of multiple and often novel imaging modalities… (more)

Subjects/Keywords: Schizophrenia detection; Cingulum bundle; Tubular surface segmentation; Branch detection; Mass spectrometry analysis; Tumor boundary detection; Biomarker detection; Glioma; Tumor classification; DESI; Vessel segmentation; Medical imaging; Fiber bundle segmentation; Computer vision; Diagnostic imaging; Computer vision in medicine; Image processing; Machine learning

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APA (6th Edition):

Mohan, V. (2010). Computer vision and machine learning methods for the analysis of brain and cardiac imagery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39628

Chicago Manual of Style (16th Edition):

Mohan, Vandana. “Computer vision and machine learning methods for the analysis of brain and cardiac imagery.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/39628.

MLA Handbook (7th Edition):

Mohan, Vandana. “Computer vision and machine learning methods for the analysis of brain and cardiac imagery.” 2010. Web. 23 Sep 2019.

Vancouver:

Mohan V. Computer vision and machine learning methods for the analysis of brain and cardiac imagery. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/39628.

Council of Science Editors:

Mohan V. Computer vision and machine learning methods for the analysis of brain and cardiac imagery. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/39628


Georgia Tech

3. Gao, Yi. Geometric statistically based methods for the segmentation and registration of medical imagery.

Degree: PhD, Biomedical Engineering, 2010, Georgia Tech

 Medical image analysis aims at developing techniques to extract information from medical images. Among its many sub-fields, image registration and segmentation are two important topics.… (more)

Subjects/Keywords: Computer vision; Medical image analysis; Image segmentation; Image registration; Shape analysis; Imaging systems in medicine; Image analysis; Image registration; Image processing Digital techniques

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APA (6th Edition):

Gao, Y. (2010). Geometric statistically based methods for the segmentation and registration of medical imagery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39644

Chicago Manual of Style (16th Edition):

Gao, Yi. “Geometric statistically based methods for the segmentation and registration of medical imagery.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/39644.

MLA Handbook (7th Edition):

Gao, Yi. “Geometric statistically based methods for the segmentation and registration of medical imagery.” 2010. Web. 23 Sep 2019.

Vancouver:

Gao Y. Geometric statistically based methods for the segmentation and registration of medical imagery. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/39644.

Council of Science Editors:

Gao Y. Geometric statistically based methods for the segmentation and registration of medical imagery. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/39644


Georgia Tech

4. Sampath, Rahul Srinivasan. A parallel geometric multigrid method for finite elements on octree meshes applied to elastic image registration.

Degree: PhD, Computing, 2009, Georgia Tech

 The first component of this work is a parallel algorithm for constructing non-uniform octree meshes for finite element computations. Prior to octree meshing, the linear… (more)

Subjects/Keywords: Image processing; Multigrid; Optimization; Octree; Finite elements; Parallel algorithm; Image registration; Finite element method Data processing; Numerical analysis; Algorithms

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APA (6th Edition):

Sampath, R. S. (2009). A parallel geometric multigrid method for finite elements on octree meshes applied to elastic image registration. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29702

Chicago Manual of Style (16th Edition):

Sampath, Rahul Srinivasan. “A parallel geometric multigrid method for finite elements on octree meshes applied to elastic image registration.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/29702.

MLA Handbook (7th Edition):

Sampath, Rahul Srinivasan. “A parallel geometric multigrid method for finite elements on octree meshes applied to elastic image registration.” 2009. Web. 23 Sep 2019.

Vancouver:

Sampath RS. A parallel geometric multigrid method for finite elements on octree meshes applied to elastic image registration. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/29702.

Council of Science Editors:

Sampath RS. A parallel geometric multigrid method for finite elements on octree meshes applied to elastic image registration. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29702


Georgia Tech

5. Sandhu, Romeil Singh. Statistical methods for 2D image segmentation and 3D pose estimation.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 The field of computer vision focuses on the goal of developing techniques to exploit and extract information from underlying data that may represent images or… (more)

Subjects/Keywords: Pose estimation; Segmentation; Registration; Computer vision; Particle filtering; Image processing; Image processing Digital techniques; Geometry, Differential

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APA (6th Edition):

Sandhu, R. S. (2010). Statistical methods for 2D image segmentation and 3D pose estimation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37245

Chicago Manual of Style (16th Edition):

Sandhu, Romeil Singh. “Statistical methods for 2D image segmentation and 3D pose estimation.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/37245.

MLA Handbook (7th Edition):

Sandhu, Romeil Singh. “Statistical methods for 2D image segmentation and 3D pose estimation.” 2010. Web. 23 Sep 2019.

Vancouver:

Sandhu RS. Statistical methods for 2D image segmentation and 3D pose estimation. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/37245.

Council of Science Editors:

Sandhu RS. Statistical methods for 2D image segmentation and 3D pose estimation. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37245


Georgia Tech

6. Lankton, Shawn M. Localized statistical models in computer vision.

Degree: PhD, Electrical and Computer Engineering, 2009, Georgia Tech

 Computer vision approximates human vision using computers. Two subsets are explored in this work: image segmentation and visual tracking. Segmentation involves partitioning an image into… (more)

Subjects/Keywords: Computer vision; Medical imaging; Segmentation; Visual tracking; Computer vision in medicine; Diagnostic imaging; Imaging systems in medicine

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APA (6th Edition):

Lankton, S. M. (2009). Localized statistical models in computer vision. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/31644

Chicago Manual of Style (16th Edition):

Lankton, Shawn M. “Localized statistical models in computer vision.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/31644.

MLA Handbook (7th Edition):

Lankton, Shawn M. “Localized statistical models in computer vision.” 2009. Web. 23 Sep 2019.

Vancouver:

Lankton SM. Localized statistical models in computer vision. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/31644.

Council of Science Editors:

Lankton SM. Localized statistical models in computer vision. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/31644


Georgia Tech

7. Malcolm, James G. Filtered tractography.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 Computer vision encompasses a host of computational techniques to process visual information. Medical imagery is one particular area of application where data comes in various… (more)

Subjects/Keywords: Tractography; MRI; Diffusion magnetic resonance imaging; Magnetic resonance imaging; Diagnostic imaging; Imaging systems in medicine

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APA (6th Edition):

Malcolm, J. G. (2010). Filtered tractography. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/39629

Chicago Manual of Style (16th Edition):

Malcolm, James G. “Filtered tractography.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/39629.

MLA Handbook (7th Edition):

Malcolm, James G. “Filtered tractography.” 2010. Web. 23 Sep 2019.

Vancouver:

Malcolm JG. Filtered tractography. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/39629.

Council of Science Editors:

Malcolm JG. Filtered tractography. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/39629


Georgia Tech

8. 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 September 23, 2019. 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. 23 Sep 2019.

Vancouver:

Gallego Bonet G. Variational image processing algorithms for the stereoscopic space-time reconstruction of water waves. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 23]. 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

9. Kim, Hwa Kil. Hamiltonian systems and the calculus of differential forms on the Wasserstein space.

Degree: PhD, Mathematics, 2009, Georgia Tech

 This thesis consists of two parts. In the first part, we study stability properties of Hamiltonian systems on the Wasserstein space. Let H be a… (more)

Subjects/Keywords: Hamiltonian systems; Differential forms; Wasserstein space; Hamiltonian systems; Differential forms

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APA (6th Edition):

Kim, H. K. (2009). Hamiltonian systems and the calculus of differential forms on the Wasserstein space. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/29720

Chicago Manual of Style (16th Edition):

Kim, Hwa Kil. “Hamiltonian systems and the calculus of differential forms on the Wasserstein space.” 2009. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/29720.

MLA Handbook (7th Edition):

Kim, Hwa Kil. “Hamiltonian systems and the calculus of differential forms on the Wasserstein space.” 2009. Web. 23 Sep 2019.

Vancouver:

Kim HK. Hamiltonian systems and the calculus of differential forms on the Wasserstein space. [Internet] [Doctoral dissertation]. Georgia Tech; 2009. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/29720.

Council of Science Editors:

Kim HK. Hamiltonian systems and the calculus of differential forms on the Wasserstein space. [Doctoral Dissertation]. Georgia Tech; 2009. Available from: http://hdl.handle.net/1853/29720

10. Sun, Rui. The evaluation of the stability of acoustic features in affective conveyance across multiple emotional databases.

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

 The objective of the research presented in this thesis was to systematically investigate the computational structure for cross-database emotion recognition. The research consisted of evaluating… (more)

Subjects/Keywords: Emotion recognition in speech; Cross-database evaluation; Language and emotions; Emotions; Automatic speech recognition; Speech processing systems

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APA (6th Edition):

Sun, R. (2013). The evaluation of the stability of acoustic features in affective conveyance across multiple emotional databases. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/49041

Chicago Manual of Style (16th Edition):

Sun, Rui. “The evaluation of the stability of acoustic features in affective conveyance across multiple emotional databases.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/49041.

MLA Handbook (7th Edition):

Sun, Rui. “The evaluation of the stability of acoustic features in affective conveyance across multiple emotional databases.” 2013. Web. 23 Sep 2019.

Vancouver:

Sun R. The evaluation of the stability of acoustic features in affective conveyance across multiple emotional databases. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/49041.

Council of Science Editors:

Sun R. The evaluation of the stability of acoustic features in affective conveyance across multiple emotional databases. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/49041

11. Kaul, Vivek. Tracking and detection of cracks using minimal path techniques.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 The research in the thesis investigates the use of minimal path techniques to track and detect cracks, modeled as curves, in critical infrastructure like pavements… (more)

Subjects/Keywords: Pavement crack minimal path methods; Pavements, Concrete Cracking; Hausdorff measures; Concrete Cracking; Computer vision

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APA (6th Edition):

Kaul, V. (2010). Tracking and detection of cracks using minimal path techniques. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/37214

Chicago Manual of Style (16th Edition):

Kaul, Vivek. “Tracking and detection of cracks using minimal path techniques.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/37214.

MLA Handbook (7th Edition):

Kaul, Vivek. “Tracking and detection of cracks using minimal path techniques.” 2010. Web. 23 Sep 2019.

Vancouver:

Kaul V. Tracking and detection of cracks using minimal path techniques. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/37214.

Council of Science Editors:

Kaul V. Tracking and detection of cracks using minimal path techniques. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/37214

12. Gholami, Behnood. Closed-loop control for cardiopulmonary management and intensive care unit sedation using digital imaging.

Degree: PhD, Aerospace Engineering, 2010, Georgia Tech

 This dissertation introduces a new problem in the delivery of healthcare, which could result in lower cost and a higher quality of medical care as… (more)

Subjects/Keywords: Cardiopulmonary management; Decision support; Pain assessment; Closed-loop control of sedation; Intensive care unit sedation; Expert systems; Pain; Pain Measurement; Pain Treatment; Support vector machines

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APA (6th Edition):

Gholami, B. (2010). Closed-loop control for cardiopulmonary management and intensive care unit sedation using digital imaging. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/34793

Chicago Manual of Style (16th Edition):

Gholami, Behnood. “Closed-loop control for cardiopulmonary management and intensive care unit sedation using digital imaging.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/34793.

MLA Handbook (7th Edition):

Gholami, Behnood. “Closed-loop control for cardiopulmonary management and intensive care unit sedation using digital imaging.” 2010. Web. 23 Sep 2019.

Vancouver:

Gholami B. Closed-loop control for cardiopulmonary management and intensive care unit sedation using digital imaging. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/34793.

Council of Science Editors:

Gholami B. Closed-loop control for cardiopulmonary management and intensive care unit sedation using digital imaging. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/34793

13. Rehman, Tauseef ur. Efficient numerical method for solution of L² optimal mass transport problem.

Degree: PhD, Electrical and Computer Engineering, 2010, Georgia Tech

 In this thesis, a novel and efficient numerical method is presented for the computation of the L² optimal mass transport mapping in two and three… (more)

Subjects/Keywords: Optimal mass transport; Image registration; Image morphing; Active contour tracking; Mass transfer; Differential equations, Linear Numerical solutions

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APA (6th Edition):

Rehman, T. u. (2010). Efficient numerical method for solution of L² optimal mass transport problem. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/33891

Chicago Manual of Style (16th Edition):

Rehman, Tauseef ur. “Efficient numerical method for solution of L² optimal mass transport problem.” 2010. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/33891.

MLA Handbook (7th Edition):

Rehman, Tauseef ur. “Efficient numerical method for solution of L² optimal mass transport problem.” 2010. Web. 23 Sep 2019.

Vancouver:

Rehman Tu. Efficient numerical method for solution of L² optimal mass transport problem. [Internet] [Doctoral dissertation]. Georgia Tech; 2010. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/33891.

Council of Science Editors:

Rehman Tu. Efficient numerical method for solution of L² optimal mass transport problem. [Doctoral Dissertation]. Georgia Tech; 2010. Available from: http://hdl.handle.net/1853/33891

14. Lee, Jehoon. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 Computer vision is the science that studies how machines understand scenes and automatically make decisions based on meaningful information extracted from an image or multi-dimensional… (more)

Subjects/Keywords: Computer vision; Visual tracking; Image segmentation; Pose estimation; Shape analysis; Particle filtering; Active contours; Image processing; Pattern recognition systems; Algorithms

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APA (6th Edition):

Lee, J. (2012). Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/43582

Chicago Manual of Style (16th Edition):

Lee, Jehoon. “Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.” 2012. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/43582.

MLA Handbook (7th Edition):

Lee, Jehoon. “Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition.” 2012. Web. 23 Sep 2019.

Vancouver:

Lee J. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/43582.

Council of Science Editors:

Lee J. Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/43582

15. zHu, LiangJia. Automatic segmentation of wall structures from cardiac images.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 One important topic in medical image analysis is segmenting wall structures from different cardiac medical imaging modalities such as computed tomography (CT) and magnetic resonance… (more)

Subjects/Keywords: Variational region growing; Contour evolution; Shape segmentation; Cardiac images; Wall structures; Diagnostic imaging; Heart Imaging

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APA (6th Edition):

zHu, L. (2012). Automatic segmentation of wall structures from cardiac images. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/47727

Chicago Manual of Style (16th Edition):

zHu, LiangJia. “Automatic segmentation of wall structures from cardiac images.” 2012. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/47727.

MLA Handbook (7th Edition):

zHu, LiangJia. “Automatic segmentation of wall structures from cardiac images.” 2012. Web. 23 Sep 2019.

Vancouver:

zHu L. Automatic segmentation of wall structures from cardiac images. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/47727.

Council of Science Editors:

zHu L. Automatic segmentation of wall structures from cardiac images. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/47727

16. Karasev, Peter A. Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data.

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

 This thesis is divided into five chapters. The scope of problems considered is defined in chapter I. Next, chapter II provides background material on image… (more)

Subjects/Keywords: Image processing; Control theory; Image processing; Differential equations, Partial; Pattern recognition systems; Computer vision

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APA (6th Edition):

Karasev, P. A. (2013). Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/50257

Chicago Manual of Style (16th Edition):

Karasev, Peter A. “Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data.” 2013. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/50257.

MLA Handbook (7th Edition):

Karasev, Peter A. “Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data.” 2013. Web. 23 Sep 2019.

Vancouver:

Karasev PA. Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data. [Internet] [Doctoral dissertation]. Georgia Tech; 2013. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/50257.

Council of Science Editors:

Karasev PA. Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data. [Doctoral Dissertation]. Georgia Tech; 2013. Available from: http://hdl.handle.net/1853/50257

17. Kim, Il Tae. Carbon-based magnetic nanohybrid materials for polymer composites and electrochemical energy storage and conversion.

Degree: PhD, Materials Science and Engineering, 2011, Georgia Tech

 The role of nanohybrid materials in the fields of polymer composites and electrochemical energy systems is significant since they affect the enhanced physical properties and… (more)

Subjects/Keywords: Li-ion batteris; Anode; Carbon nanotubes; Graphene; Polymer composites; Iron oxide; Nanostructured materials; Nanotubes; Lithium ion batteries; Fullerenes

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APA (6th Edition):

Kim, I. T. (2011). Carbon-based magnetic nanohybrid materials for polymer composites and electrochemical energy storage and conversion. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/45876

Chicago Manual of Style (16th Edition):

Kim, Il Tae. “Carbon-based magnetic nanohybrid materials for polymer composites and electrochemical energy storage and conversion.” 2011. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/45876.

MLA Handbook (7th Edition):

Kim, Il Tae. “Carbon-based magnetic nanohybrid materials for polymer composites and electrochemical energy storage and conversion.” 2011. Web. 23 Sep 2019.

Vancouver:

Kim IT. Carbon-based magnetic nanohybrid materials for polymer composites and electrochemical energy storage and conversion. [Internet] [Doctoral dissertation]. Georgia Tech; 2011. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/45876.

Council of Science Editors:

Kim IT. Carbon-based magnetic nanohybrid materials for polymer composites and electrochemical energy storage and conversion. [Doctoral Dissertation]. Georgia Tech; 2011. Available from: http://hdl.handle.net/1853/45876

18. Appia, Vikram VijayanBabu. Non-local active contours.

Degree: PhD, Electrical and Computer Engineering, 2012, Georgia Tech

 This thesis deals with image segmentation problems that arise in various computer vision related fields such as medical imaging, satellite imaging, video surveillance, recognition and… (more)

Subjects/Keywords: Active geodesics; Fast marching; Active contour models; Imge segmentation; Motion segmentation; Optical flow; Shape priors; Localized principal component analysis; Pattern perception; Pattern recognition systems; Computer vision

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APA (6th Edition):

Appia, V. V. (2012). Non-local active contours. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/44739

Chicago Manual of Style (16th Edition):

Appia, Vikram VijayanBabu. “Non-local active contours.” 2012. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/44739.

MLA Handbook (7th Edition):

Appia, Vikram VijayanBabu. “Non-local active contours.” 2012. Web. 23 Sep 2019.

Vancouver:

Appia VV. Non-local active contours. [Internet] [Doctoral dissertation]. Georgia Tech; 2012. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/44739.

Council of Science Editors:

Appia VV. Non-local active contours. [Doctoral Dissertation]. Georgia Tech; 2012. Available from: http://hdl.handle.net/1853/44739


Georgia Tech

19. Arumuganainar, Ponnappan. Automatic soft plaque detection from CTA.

Degree: MS, Biomedical Engineering, 2008, Georgia Tech

 This thesis explores two possible ways of detecting soft plaque present in the coronary arteries, using CTA imagery. The coronary arteries are vessels that supply… (more)

Subjects/Keywords: Atherosclerosis; Soft plaque; Level set methods; Active contours; Image segmentation; Medical image processing; CT angiography; Watershed transform; Atherosclerotic plaque; Blood-vessels Imaging; Angiography

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APA (6th Edition):

Arumuganainar, P. (2008). Automatic soft plaque detection from CTA. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/26690

Chicago Manual of Style (16th Edition):

Arumuganainar, Ponnappan. “Automatic soft plaque detection from CTA.” 2008. Masters Thesis, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/26690.

MLA Handbook (7th Edition):

Arumuganainar, Ponnappan. “Automatic soft plaque detection from CTA.” 2008. Web. 23 Sep 2019.

Vancouver:

Arumuganainar P. Automatic soft plaque detection from CTA. [Internet] [Masters thesis]. Georgia Tech; 2008. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/26690.

Council of Science Editors:

Arumuganainar P. Automatic soft plaque detection from CTA. [Masters Thesis]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/26690


Georgia Tech

20. Kim, Hyungjoon. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 The primary objective of this thesis is to provide a low-complexity rate-distortion optimal coding mode selection method in digital video encoding. To achieve optimal compression… (more)

Subjects/Keywords: Mode selection; MPEG; Video coding

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APA (6th Edition):

Kim, H. (2007). Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14513

Chicago Manual of Style (16th Edition):

Kim, Hyungjoon. “Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/14513.

MLA Handbook (7th Edition):

Kim, Hyungjoon. “Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding.” 2007. Web. 23 Sep 2019.

Vancouver:

Kim H. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/14513.

Council of Science Editors:

Kim H. Low-Complexity Mode Selection for Rate-Distortion Optimal Video Coding. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/14513


Georgia Tech

21. Sundaramoorthi, Ganesh. Global Optimizing Flows for Active Contours.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 This thesis makes significant contributions to the object detection problem in computer vision. The object detection problem is, given a digital image of a scene,… (more)

Subjects/Keywords: Active contours; Image segmentation; Visual tracking; PDE; Gradient flows; Mathematical optimization; Optical pattern recognition; Computer vision; Image analysis Data processing

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APA (6th Edition):

Sundaramoorthi, G. (2007). Global Optimizing Flows for Active Contours. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16145

Chicago Manual of Style (16th Edition):

Sundaramoorthi, Ganesh. “Global Optimizing Flows for Active Contours.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/16145.

MLA Handbook (7th Edition):

Sundaramoorthi, Ganesh. “Global Optimizing Flows for Active Contours.” 2007. Web. 23 Sep 2019.

Vancouver:

Sundaramoorthi G. Global Optimizing Flows for Active Contours. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/16145.

Council of Science Editors:

Sundaramoorthi G. Global Optimizing Flows for Active Contours. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16145


Georgia Tech

22. Jackson, Jeremy D. Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 This dissertation gives a general model for the estimation of shape (image segmentation), appearance, pose (image registration), and movement (tracking). The model can infer parameters… (more)

Subjects/Keywords: Appearance models; Tracking; Registration; Segmentation; Image processing; Computer vision

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APA (6th Edition):

Jackson, J. D. (2007). Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16305

Chicago Manual of Style (16th Edition):

Jackson, Jeremy D. “Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/16305.

MLA Handbook (7th Edition):

Jackson, Jeremy D. “Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking.” 2007. Web. 23 Sep 2019.

Vancouver:

Jackson JD. Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/16305.

Council of Science Editors:

Jackson JD. Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16305


Georgia Tech

23. Muhammad, Abubakr. Graphs, Simplicial Complexes and Beyond: Topological Tools for Multi-agent Coordination.

Degree: PhD, Electrical and Computer Engineering, 2005, Georgia Tech

 In this work, connectivity graphs have been studied as models of local interactions in multi-agent robotic systems. A systematic study of the space of connectivity… (more)

Subjects/Keywords: Computational homology; Cooperative control; Multi-agent robotics; Mobile sensor networks; Topological algebras; Robotics; Homology theory; Automatic control

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APA (6th Edition):

Muhammad, A. (2005). Graphs, Simplicial Complexes and Beyond: Topological Tools for Multi-agent Coordination. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7596

Chicago Manual of Style (16th Edition):

Muhammad, Abubakr. “Graphs, Simplicial Complexes and Beyond: Topological Tools for Multi-agent Coordination.” 2005. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/7596.

MLA Handbook (7th Edition):

Muhammad, Abubakr. “Graphs, Simplicial Complexes and Beyond: Topological Tools for Multi-agent Coordination.” 2005. Web. 23 Sep 2019.

Vancouver:

Muhammad A. Graphs, Simplicial Complexes and Beyond: Topological Tools for Multi-agent Coordination. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/7596.

Council of Science Editors:

Muhammad A. Graphs, Simplicial Complexes and Beyond: Topological Tools for Multi-agent Coordination. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7596


Georgia Tech

24. Mills, Ryan Edward. New AB initio methods of small genome sequence interpretation.

Degree: PhD, Biomedical Engineering, 2006, Georgia Tech

 This thesis presents novel methods for analysis of short viral sequences and identifying biologically significant regions based on their statistical properties. The first section of… (more)

Subjects/Keywords: Virus; Gene finding; Databases; Viral genomes Statistical methods; Viral genomes Statistical methods

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APA (6th Edition):

Mills, R. E. (2006). New AB initio methods of small genome sequence interpretation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/10515

Chicago Manual of Style (16th Edition):

Mills, Ryan Edward. “New AB initio methods of small genome sequence interpretation.” 2006. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/10515.

MLA Handbook (7th Edition):

Mills, Ryan Edward. “New AB initio methods of small genome sequence interpretation.” 2006. Web. 23 Sep 2019.

Vancouver:

Mills RE. New AB initio methods of small genome sequence interpretation. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/10515.

Council of Science Editors:

Mills RE. New AB initio methods of small genome sequence interpretation. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/10515


Georgia Tech

25. Suresh, Nitin. Mean Time Between Visible Artifacts in Visual Communications.

Degree: PhD, Electrical and Computer Engineering, 2007, Georgia Tech

 As digital communication of television content becomes more pervasive, and as networks supporting such communication become increasingly diverse, the long-standing problem of assessing video quality… (more)

Subjects/Keywords: AVQ; Video quality; Subjective metrics; Objective metrics; Video recordings Evaluation

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APA (6th Edition):

Suresh, N. (2007). Mean Time Between Visible Artifacts in Visual Communications. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16238

Chicago Manual of Style (16th Edition):

Suresh, Nitin. “Mean Time Between Visible Artifacts in Visual Communications.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/16238.

MLA Handbook (7th Edition):

Suresh, Nitin. “Mean Time Between Visible Artifacts in Visual Communications.” 2007. Web. 23 Sep 2019.

Vancouver:

Suresh N. Mean Time Between Visible Artifacts in Visual Communications. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/16238.

Council of Science Editors:

Suresh N. Mean Time Between Visible Artifacts in Visual Communications. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16238


Georgia Tech

26. Rathi, Yogesh. Filtering for Closed Curves.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 This thesis deals with the problem of tracking highly deformable objects in the presence of noise, clutter and occlusions. The contributions of this thesis are… (more)

Subjects/Keywords: Shape analysis; Tracking; Particle filtering; Pattern recognition systems; Computer vision

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APA (6th Edition):

Rathi, Y. (2006). Filtering for Closed Curves. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/13996

Chicago Manual of Style (16th Edition):

Rathi, Yogesh. “Filtering for Closed Curves.” 2006. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/13996.

MLA Handbook (7th Edition):

Rathi, Yogesh. “Filtering for Closed Curves.” 2006. Web. 23 Sep 2019.

Vancouver:

Rathi Y. Filtering for Closed Curves. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/13996.

Council of Science Editors:

Rathi Y. Filtering for Closed Curves. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/13996


Georgia Tech

27. Bistoquet, Arnaud. Cardiac motion recovery from magnetic resonance images using incompressible deformable models.

Degree: PhD, Electrical and Computer Engineering, 2008, Georgia Tech

 The study of myocardial motion is essential for understanding the normal heart function and developing new treatments for cardiovascular diseases. The goals of my PhD… (more)

Subjects/Keywords: Cardiac deformation recovery; Incompressibility; Cardiac MRI; Heart Imaging; Heart Diseases Diagnosis Equipment and supplies; Magnetic resonance imaging; Diagnostic imaging; Imaging systems in medicine

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APA (6th Edition):

Bistoquet, A. (2008). Cardiac motion recovery from magnetic resonance images using incompressible deformable models. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/24628

Chicago Manual of Style (16th Edition):

Bistoquet, Arnaud. “Cardiac motion recovery from magnetic resonance images using incompressible deformable models.” 2008. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/24628.

MLA Handbook (7th Edition):

Bistoquet, Arnaud. “Cardiac motion recovery from magnetic resonance images using incompressible deformable models.” 2008. Web. 23 Sep 2019.

Vancouver:

Bistoquet A. Cardiac motion recovery from magnetic resonance images using incompressible deformable models. [Internet] [Doctoral dissertation]. Georgia Tech; 2008. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/24628.

Council of Science Editors:

Bistoquet A. Cardiac motion recovery from magnetic resonance images using incompressible deformable models. [Doctoral Dissertation]. Georgia Tech; 2008. Available from: http://hdl.handle.net/1853/24628


Georgia Tech

28. Alvino, Christopher Vincent. Multiscale Active Contour Methods in Computer Vision with Applications in Tomography.

Degree: PhD, Electrical and Computer Engineering, 2005, Georgia Tech

 Most applications in computer vision suffer from two major difficulties. The first is they are notoriously ridden with sub-optimal local minima. The second is that… (more)

Subjects/Keywords: FAS multigrid; Tranmission tomography; Tomographic reconstruction; CT Scan; Surface initialization; Optical flow; Contour registration; Medical imaging; Mumford-Shah; Scale space; Minimal surfaces; Minimal surfaces; Tomography; Computer vision; Diagnostic imaging; Image processing Mathematics

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APA (6th Edition):

Alvino, C. V. (2005). Multiscale Active Contour Methods in Computer Vision with Applications in Tomography. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/6896

Chicago Manual of Style (16th Edition):

Alvino, Christopher Vincent. “Multiscale Active Contour Methods in Computer Vision with Applications in Tomography.” 2005. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/6896.

MLA Handbook (7th Edition):

Alvino, Christopher Vincent. “Multiscale Active Contour Methods in Computer Vision with Applications in Tomography.” 2005. Web. 23 Sep 2019.

Vancouver:

Alvino CV. Multiscale Active Contour Methods in Computer Vision with Applications in Tomography. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/6896.

Council of Science Editors:

Alvino CV. Multiscale Active Contour Methods in Computer Vision with Applications in Tomography. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/6896


Georgia Tech

29. Li, Dalong. Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation.

Degree: PhD, Electrical and Computer Engineering, 2006, Georgia Tech

 In this thesis work, the background of atmospheric turbulence degradation in imaging was reviewed and two aspects are highlighted: blurring and geometric distortion. The turbulence… (more)

Subjects/Keywords: Atmospheric turbulence; Restoration; Kurtosis minimization; Phase correlation; Blur identification

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APA (6th Edition):

Li, D. (2006). Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/14541

Chicago Manual of Style (16th Edition):

Li, Dalong. “Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation.” 2006. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/14541.

MLA Handbook (7th Edition):

Li, Dalong. “Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation.” 2006. Web. 23 Sep 2019.

Vancouver:

Li D. Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation. [Internet] [Doctoral dissertation]. Georgia Tech; 2006. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/14541.

Council of Science Editors:

Li D. Restoration of Atmospheric Turbulence Degraded Video using Kurtosis Minimization and Motion Compensation. [Doctoral Dissertation]. Georgia Tech; 2006. Available from: http://hdl.handle.net/1853/14541


Georgia Tech

30. Sattigeri, Ramachandra Jayant. Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight.

Degree: PhD, Aerospace Engineering, 2007, Georgia Tech

 The role of vision as an additional sensing mechanism has received a lot of attention in recent years in the context of autonomous flight applications.… (more)

Subjects/Keywords: Neural networks; Target tracking; Adaptive estimation; Adaptive Kalman filters; Integrated guidance and control; Adaptive guidance and control; Adaptive control; Unmanned aerial vehicles; Multiple-vehicle formation; Guidance systems (Flight); Robot vision; Adaptive control systems; Drone aircraft; Flight control

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APA (6th Edition):

Sattigeri, R. J. (2007). Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/16272

Chicago Manual of Style (16th Edition):

Sattigeri, Ramachandra Jayant. “Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight.” 2007. Doctoral Dissertation, Georgia Tech. Accessed September 23, 2019. http://hdl.handle.net/1853/16272.

MLA Handbook (7th Edition):

Sattigeri, Ramachandra Jayant. “Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight.” 2007. Web. 23 Sep 2019.

Vancouver:

Sattigeri RJ. Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight. [Internet] [Doctoral dissertation]. Georgia Tech; 2007. [cited 2019 Sep 23]. Available from: http://hdl.handle.net/1853/16272.

Council of Science Editors:

Sattigeri RJ. Adaptive Estimation and Control with Application to Vision-based Autonomous Formation Flight. [Doctoral Dissertation]. Georgia Tech; 2007. Available from: http://hdl.handle.net/1853/16272

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