DocumentCode
2072789
Title
Belief Propagation on the GPU for Stereo Vision
Author
Brunton, Alan ; Shu, Chang ; Roth, Gerhard
Author_Institution
University of Ottawa, Canada
fYear
2006
fDate
07-09 June 2006
Firstpage
76
Lastpage
76
Abstract
The power of Markov random field formulations of lowlevel vision problems, such as stereo, has been known for some time. However, recent advances, both algorithmic and in processing power, have made their application practical. This paper presents a novel implementation of Bayesian belief propagation for graphics processing units found in most modern desktop and notebook computers, and applies it to the stereo problem. The stereo problem is used for comparison to other BP algorithms.
Keywords
belief; graphics processing unit.; image-based rendering; propagation; stereo vision; Belief propagation; Computer graphics; Computer vision; Councils; Information technology; Layout; Markov random fields; Pixel; Random variables; Stereo vision; belief; graphics processing unit.; image-based rendering; propagation; stereo vision;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision, 2006. The 3rd Canadian Conference on
Print_ISBN
0-7695-2542-3
Type
conf
DOI
10.1109/CRV.2006.19
Filename
1640431
Link To Document