DocumentCode :
3549055
Title :
Real-time connectivity constrained depth map computation using programmable graphics hardware
Author :
Cornells, N. ; Van Gool, Luc
Author_Institution :
Katholieke Univ. Leuven, Belgium
Volume :
1
fYear :
2005
fDate :
20-25 June 2005
Firstpage :
1099
Abstract :
This paper presents a passive depth map computation algorithm which runs entirely on programmable 3D graphics hardware at real-time speed. Previous implementations relied on the use of either mipmapping or correlation windows to increase the robustness of the calculated depth map. These methods, however, are inherently unable to compute the depths for fine 3D structures. To overcome this obstacle we introduce a pixel-based method which incorporates connectivity information between neighboring pixels, while maintaining the performance boost gained by implementing the algorithm on a highly parallelized architecture such as graphics hardware.
Keywords :
image reconstruction; parallel architectures; real-time systems; 3D structures; highly parallelized architecture; pixel-based method; programmable 3D graphics hardware; real-time connectivity constrained depth map computation; Cameras; Computer architecture; Computer graphics; Frequency estimation; Hardware; Iterative algorithms; Moore´s Law; Robustness; Software performance; Supercomputers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-2372-2
Type :
conf
DOI :
10.1109/CVPR.2005.291
Filename :
1467389
Link To Document :
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