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Efficient visual hull computation for real-time 3D reconstruction using CUDA

Alexander Ladikos, Selim Benhimane, Nassir Navab
Department of Computer Science, Technische Universitat Munchen, Boltzmannstr. 3 , 85748 Garching, Germany
IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 2008. CVPRW ’08

@inproceedings{ladikos2008efficient,

   title={Efficient visual hull computation for real-time 3D reconstruction using CUDA},

   author={Ladikos, A. and Benhimane, S. and Navab, N.},

   booktitle={Computer Vision and Pattern Recognition Workshops, 2008. CVPRW’08. IEEE Computer Society Conference on},

   pages={1–8},

   year={2008},

   organization={IEEE}

}

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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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