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