ML Anthology

Improving RANSAC for Fast Landmark Recognition

Pablo Márquez-Neila, Jacobo Garcia Miro, José Miguel Buenaposada, Luis Baumela
CVPRW 2008 pp. 1-8
doi:10.1109/CVPRW.2008.4563138 /cvprw/2008/marquezneila2008cvprw-improving/

Abstract

We introduce a procedure for recognizing and locating planar landmarks for mobile robot navigation, based in the detection and recognition of a set of interest points. We use RANSAC for fitting a homography and locating the landmark. Our main contribution is the introduction of a geometrical constraint that reduces the number of RANSAC iterations by discarding minimal subsets. In the experiments conducted we conclude that this constraint increases RANSAC performance by reducing in about 35% and 75% the number of iterations for affine and projective cameras, respectively.

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Cite

Text

Márquez-Neila et al. "Improving RANSAC for Fast Landmark Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563138

Markdown

[Márquez-Neila et al. "Improving RANSAC for Fast Landmark Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/marquezneila2008cvprw-improving/) doi:10.1109/CVPRW.2008.4563138

BibTeX

@inproceedings{marquezneila2008cvprw-improving,
  title     = {{Improving RANSAC for Fast Landmark Recognition}},
  author    = {Márquez-Neila, Pablo and Miro, Jacobo Garcia and Buenaposada, José Miguel and Baumela, Luis},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-8},
  doi       = {10.1109/CVPRW.2008.4563138},
  url       = {https://mlanthology.org/cvprw/2008/marquezneila2008cvprw-improving/}
}