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Illumination compensation in video surveillance analysis
(Georgia Institute of Technology, 2011-03-30)
Problems in automated video surveillance analysis caused by illumination changes are explored, and solutions are presented. Controlled experiments are first conducted to measure the responses of color targets to changes ...
Computer vision and machine learning methods for the analysis of brain and cardiac imagery
(Georgia Institute of Technology, 2010-12-06)
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 necessitates the use of mathematical and ...
Global Optimizing Flows for Active Contours
(Georgia Institute of Technology, 2007-07-09)
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, to detect the relevant object in the image. One technique ...
Statistical methods for 2D image segmentation and 3D pose estimation
(Georgia Institute of Technology, 2010-10-26)
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 other multidimensional data. In particular, two well-studied ...
Physics-driven variational methods for computer vision and shape-based imaging
(Georgia Institute of Technology, 2014-05-13)
In this dissertation, novel variational optical-flow and active-contour methods are investigated to address challenging problems in computer vision and shape-based imaging. Starting from traditional applications of these ...
Filtering for Closed Curves
(Georgia Institute of Technology, 2006-10-23)
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 threefold:
A novel technique is proposed to perform ...