DocumentCode :
2118952
Title :
Efficient visual hull computation for real-time 3D reconstruction using CUDA
Author :
Ladikos, Alexander ; Benhimane, Selim ; Navab, Nassir
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. Munchen, Garching
fYear :
2008
fDate :
23-28 June 2008
Firstpage :
1
Lastpage :
8
Abstract :
In this paper we present two efficient GPU-based visual hull computation algorithms. We compare them in terms of performance using image sets of varying size and different voxel resolutions. In addition, we present a real-time 3D reconstruction system which uses the proposed GPU-based reconstruction method to achieve real-time performance (30 fps) using 16 cameras and 4 PCs.
Keywords :
computational geometry; image reconstruction; image resolution; CUDA; GPU; image sets; real-time 3D reconstruction; real-time performance; visual hull computation; voxel resolutions; Cameras; Computer science; Distributed computing; Hardware; Image reconstruction; Image segmentation; Personal communication networks; Real time systems; Reconstruction algorithms; Shape;
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.2008.4563098
Filename :
4563098
Link To Document :
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