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Dokumenttyp:
Konferenzbeitrag
Autor(en):
Ladikos, A.; Benhimane, S.; Navab, N.
Titel:
Efficient Visual Hull Computation for Real-Time 3D Reconstruction using CUDA
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.
Stichworte:
CAMP,CVPR,OTHERINTCONF,CAMPComputerVision,ComputerVision,RealTime3DReconstruction
Kongress- / Buchtitel:
Proceedings of the 2008 Conference on Computer Vision and Pattern Recognition Workshops
Jahr:
2008
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