Multi-View Stereo Revisited

@article{Goesele2006MultiViewSR,
  title={Multi-View Stereo Revisited},
  author={Michael Goesele and Brian Curless and Steven M. Seitz},
  journal={2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06)},
  year={2006},
  volume={2},
  pages={2402-2409}
}
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. 
Highly Influential
This paper has highly influenced 21 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 289 citations. REVIEW CITATIONS

Topics

Statistics

0102030'06'07'08'09'10'11'12'13'14'15'16'17'18
Citations per Year

290 Citations

Semantic Scholar estimates that this publication has 290 citations based on the available data.

See our FAQ for additional information.