DocumentCode
2118828
Title
Stereo depth with a Unified Architecture GPU
Author
Gibson, Joel ; Marques, Oge
Author_Institution
Dept. of Comput. Sci. & Eng., Florida Atlantic Univ., Boca Raton, FL
fYear
2008
fDate
23-28 June 2008
Firstpage
1
Lastpage
6
Abstract
This paper describes how the calculation of depth from stereo images was accelerated using a GPU. The Compute Unified Device Architecture (CUDA) from NVIDIA was employed in novel ways to compute depth using BT cost matching and the semi-global matching algorithm. The challenges of mapping a sequential algorithm to a massively parallel thread environment and performance optimization techniques are considered.
Keywords
computer graphic equipment; image matching; stereo image processing; Compute Unified Device Architecture; semiglobal matching algorithm; stereo image depth; unified architecture GPU; Acceleration; Computer architecture; Computer science; Costs; Feedback; Graphics; Optimization; Pixel; Taxonomy; Yarn;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision and Pattern Recognition Workshops, 2008. CVPRW '08. IEEE Computer Society Conference on
Conference_Location
Anchorage, AK
ISSN
2160-7508
Print_ISBN
978-1-4244-2339-2
Electronic_ISBN
2160-7508
Type
conf
DOI
10.1109/CVPRW.2008.4563092
Filename
4563092
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