TY - GEN
T1 - Efficient visual hull computation for real-time 3D reconstruction using CUDA
AU - Ladikos, Alexander
AU - Benhimane, Selim
AU - Navab, Nassir
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/51849095965
U2 - 10.1109/CVPRW.2008.4563098
DO - 10.1109/CVPRW.2008.4563098
M3 - Conference contribution
AN - SCOPUS:51849095965
SN - 9781424423408
T3 - 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops
BT - 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops
PB - IEEE Computer Society
T2 - 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2008
Y2 - 23 June 2008 through 28 June 2008
ER -