Now showing items 1-10 of 10
Feedback augmentation of pde-based image segmentation algorithms using application-specific exogenous data
(Georgia Institute of Technology, 2013-08-22)
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 processing with partial differential equations and a review ...
Statistical and geometric methods for visual tracking with occlusion handling and target reacquisition
(Georgia Institute of Technology, 2012-01-17)
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 data of the scene, like human vision. ...
Detecting and tracking moving objects from a moving platform
(Georgia Institute of Technology, 2012-05-04)
Detecting and tracking moving objects are important topics in computer vision research. Classical methods perform well in applications of steady cameras. However, these techniques are not suitable for the applications of ...
Dynamic curve estimation for visual tracking
(Georgia Institute of Technology, 2010-08-03)
This thesis tackles the visual tracking problem as a target contour estimation problem in the face of corrupted measurements. The major aim is to design robust recursive curve filters for accurate contour-based tracking. ...
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 ...
Target tracking using residual vector quantization
(Georgia Institute of Technology, 2011-11-18)
In this work, our goal is to track visual targets using residual vector quantization (RVQ). We compare our results with principal components analysis (PCA) and tree structured vector quantization (TSVQ) based tracking. This ...
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 ...
Morphological connected filters and intra-region smoothing for image segmentation
(Georgia Institute of Technology, 1993-12)
Image acquisition and processing with AC-coupled cameras
(Georgia Institute of Technology, 1997-12)
Layered Deformotion with Radiance: A Model for Appearance, Segmentation, Registration, and Tracking
(Georgia Institute of Technology, 2007-07-09)
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 for multiple objects in a dynamically ...