ML Anthology

Multi-View Stereo Revisited

Michael Goesele, Brian Curless, Steven M. Seitz
CVPR 2006 pp. 2402-2409
doi:10.1109/CVPR.2006.199 /cvpr/2006/goesele2006cvpr-multi/

Abstract

We present an extremely simple yet robust multi-view stereo algorithm and analyze its properties. The algorithm first computes individual depth maps using a window-based voting approach that returns only good matches. The depth maps are then merged into a single mesh using a straightforward volumetric approach. We show results for several datasets, showing accuracy comparable to the best of the current state of the art techniques and rivaling more complex algorithms.

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Cite

Text

Goesele et al. "Multi-View Stereo Revisited." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.199

Markdown

[Goesele et al. "Multi-View Stereo Revisited." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/goesele2006cvpr-multi/) doi:10.1109/CVPR.2006.199

BibTeX

@inproceedings{goesele2006cvpr-multi,
  title     = {{Multi-View Stereo Revisited}},
  author    = {Goesele, Michael and Curless, Brian and Seitz, Steven M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2006},
  pages     = {2402-2409},
  doi       = {10.1109/CVPR.2006.199},
  url       = {https://mlanthology.org/cvpr/2006/goesele2006cvpr-multi/}
}