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2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (2008)
Anchorage, AK, USA
June 23, 2008 to June 28, 2008
ISBN: 978-1-4244-2339-2
pp: 1-8
Alexander Ladikos , Department of Computer Science, Technische Universität München, Boltzmannstr. 3 , 85748 Garching, Germany
Nassir Navab , Department of Computer Science, Technische Universität München, Boltzmannstr. 3 , 85748 Garching, Germany
Selim Benhimane , Department of Computer Science, Technische Universität München, Boltzmannstr. 3 , 85748 Garching, Germany
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.
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CITATION
Alexander Ladikos, Nassir Navab, Selim Benhimane, "Efficient visual hull computation for real-time 3D reconstruction using CUDA", 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, vol. 00, no. , pp. 1-8, 2008, doi:10.1109/CVPRW.2008.4563098
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