ML Anthology

Recovering Epipolar Geometry by Reactive Tabu Search

Qifa Ke, Gang Xu, Songde Ma
ICCV 1998 pp. 767-771
doi:10.1109/ICCV.1998.710804 /iccv/1998/ke1998iccv-recovering/

Abstract

We propose a new approach to recover epipolar geometry from a pair of uncalibrated im-ages. By minimizing a proposed cost function, our approach matches the detected feature points from an image pair, discards the outliers and recovers the epipolar geometry simuta-neously. Experiments on real images show that this approach is effective and fast. 1

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Text

Ke et al. "Recovering Epipolar Geometry by Reactive Tabu Search." IEEE/CVF International Conference on Computer Vision, 1998. doi:10.1109/ICCV.1998.710804

Markdown

[Ke et al. "Recovering Epipolar Geometry by Reactive Tabu Search." IEEE/CVF International Conference on Computer Vision, 1998.](https://mlanthology.org/iccv/1998/ke1998iccv-recovering/) doi:10.1109/ICCV.1998.710804

BibTeX

@inproceedings{ke1998iccv-recovering,
  title     = {{Recovering Epipolar Geometry by Reactive Tabu Search}},
  author    = {Ke, Qifa and Xu, Gang and Ma, Songde},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1998},
  pages     = {767-771},
  doi       = {10.1109/ICCV.1998.710804},
  url       = {https://mlanthology.org/iccv/1998/ke1998iccv-recovering/}
}