ML Anthology

Efficient Visual Hull Computation for Real-Time 3D Reconstruction Using CUDA

Alexander Ladikos, Selim Benhimane, Nassir Navab
CVPRW 2008 pp. 1-8
doi:10.1109/CVPRW.2008.4563098 /cvprw/2008/ladikos2008cvprw-efficient/

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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Cite

Text

Ladikos et al. "Efficient Visual Hull Computation for Real-Time 3D Reconstruction Using CUDA." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563098

Markdown

[Ladikos et al. "Efficient Visual Hull Computation for Real-Time 3D Reconstruction Using CUDA." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/ladikos2008cvprw-efficient/) doi:10.1109/CVPRW.2008.4563098

BibTeX

@inproceedings{ladikos2008cvprw-efficient,
  title     = {{Efficient Visual Hull Computation for Real-Time 3D Reconstruction Using CUDA}},
  author    = {Ladikos, Alexander and Benhimane, Selim and Navab, Nassir},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-8},
  doi       = {10.1109/CVPRW.2008.4563098},
  url       = {https://mlanthology.org/cvprw/2008/ladikos2008cvprw-efficient/}
}