Now showing items 1-5 of 5
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 ...
Statistical methods for coupling expert knowledge and automatic image segmentation and registration
(Georgia Institute of Technology, 2012-12-20)
The objective of the proposed research is to develop methods that couple an expert user's guidance with automatic image segmentation and registration algorithms. Often, complex processes such as fire, anatomical ...
Robust target localization and segmentation using statistical methods
(Georgia Institute of Technology, 2010-04-05)
This thesis aims to contribute to the area of visual tracking, which is the process of identifying an object of interest through a sequence of successive images. The thesis explores kernel-based statistical methods, which ...
Multiscale deformable template matching for image analysis
(Georgia Institute of Technology, 2000-05)