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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
Selim Benhimane , 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
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.
CITATION
Alexander Ladikos, Selim Benhimane, Nassir Navab, "Efficient visual hull computation for real-time 3D reconstruction using CUDA", CVPRW, 2008, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops 2008, pp. 1-8, doi:10.1109/CVPRW.2008.4563098
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