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2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
Efficient visual hull computation for real-time 3D reconstruction using CUDA
Anchorage, AK, USA
June 23-June 28
ISBN: 978-1-4244-2339-2
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
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, pp.1-8, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008
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