Masters Theses
Date of Award
8-2012
Degree Type
Thesis
Degree Name
Master of Science
Major
Computer Engineering
Major Professor
Hairong Qi
Committee Members
Qing Cao, Jens Gregor
Abstract
Computer stereo vision is used extract depth information from two aligned cameras and there are a number of hardware and software solutions to solve the stereo correspondence problem. However few solutions are available for inexpensive mobile platforms where power and hardware are major limitations. This Thesis will proposes a method that competes with an existing OpenCV stereo correspondence method in speed and quality, and is able to run on generic multi core CPU’s.
Recommended Citation
Bodkin, Bryan Hale, "Real-Time Mobile Stereo Vision. " Master's Thesis, University of Tennessee, 2012.
https://trace.tennessee.edu/utk_gradthes/1313
Included in
Artificial Intelligence and Robotics Commons, Robotics Commons, Software Engineering Commons
