Accurate, Dense, and Robust Multiview Stereopsis

@article{Furukawa2007AccurateDA,
  title={Accurate, Dense, and Robust Multiview Stereopsis},
  author={Yasutaka Furukawa and Jean Ponce},
  journal={2007 IEEE Conference on Computer Vision and Pattern Recognition},
  year={2007},
  pages={1-8}
}
This paper proposes a novel algorithm for multiview stereopsis that outputs a dense set of small rectangular patches covering the surfaces visible in the images. Stereopsis is implemented as a match, expand, and filter procedure, starting from a sparse set of matched keypoints, and repeatedly expanding these before using visibility constraints to filter away false matches. The keys to the performance of the proposed algorithm are effective techniques for enforcing local photometric consistency… CONTINUE READING

From This Paper

Topics from this paper.

Citations

Publications citing this paper.
SHOWING 1-10 OF 988 CITATIONS, ESTIMATED 31% COVERAGE

988 Citations

050100150'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 988 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
SHOWING 1-10 OF 24 REFERENCES

Similar Papers

Loading similar papers…