A Robust Technique for Matching two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry

@article{Zhang1995ART,
  title={A Robust Technique for Matching two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry},
  author={Zhengyou Zhang and Rachid Deriche and Olivier D. Faugeras and Quang-Tuan Luong},
  journal={Artif. Intell.},
  year={1995},
  volume={78},
  pages={87-119}
}
This paper proposes a robust approach to image matching by exploiting the only available geometric constraint, namely, the epipolar constraint. The images are uncalibrated, namely the motion between them and the camera parameters are not known. Thus, the images can be taken by diierent cameras or a single camera at diierent time instants. If we m a k e an exhaustive search for the epipolar geometry, the complexity is prohibitively high. The idea underlying our approach is to use some classical… CONTINUE READING
Highly Influential
This paper has highly influenced 59 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,462 citations. REVIEW CITATIONS
883 Citations
59 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 883 extracted citations

1,463 Citations

050100'94'99'05'11'17
Citations per Year
Semantic Scholar estimates that this publication has 1,463 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 59 references

Analysis of di erent robust methods for pose re nement

  • R. Kumar, A. R. Hanson
  • In Proc. Int'l Workshop Robust Comput. Vision,
  • 1990
Highly Influential
3 Excerpts

Big 'un. Segmentation of moving objects by robust motion parameter estimation over multiple frames

  • S. Ayer, P. Schroeter
  • In J.-O. Eklundh, editor, Proc. Third European…
  • 1994
1 Excerpt

Similar Papers

Loading similar papers…