| Download | - View accepted manuscript: Belief Propagation on the GPU for Stereo Vision (PDF, 300 KB)
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| Author | Search for: Brunton, Alan; Search for: Shu, Chang; Search for: Roth, Gerhard |
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| Format | Text, Article |
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| Proceedings title | Third Canadian Conference on Computer and Robot Vision [Proceedings] |
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| Conference | Third Canadian Conference on Computer and Robot Vision, June 7-9, 2006, Québec City, Québec, Canada |
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| Subject | stereo vision; image-based rendering; belief propagation; graphics processing unit |
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| 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. |
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| Publication date | 2006 |
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| Language | English |
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| NRC number | NRCC 48491 |
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| NPARC number | 8913572 |
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| Export citation | Export as RIS |
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| Report a correction | Report a correction |
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Record identifier | 3cbf670b-b832-49db-9485-13367d29ea1b | | Record created | 2009-04-22 |
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| Record modified | 2020-10-09 |
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