Face Verification on Color Images Using Local Features

Abstract

In this paper we propose a probabilistic model for the local features technique which provides a methodology to improve this approach. On the other hand, a method for compensating the color variability in images is adapted for the local feature model. Finally, an experimental study is made in order to evaluate the performance of the local features approach on challenging situations such as partially occluded images and having only one training image per user. The results of the experiments are competitive with state-of-the-art algorithms even when we have the mentioned extreme situations.

Cite

Text

Villegas et al. "Face Verification on Color Images Using Local Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008. doi:10.1109/CVPRW.2008.4563123

Markdown

[Villegas et al. "Face Verification on Color Images Using Local Features." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2008.](https://mlanthology.org/cvprw/2008/villegas2008cvprw-face/) doi:10.1109/CVPRW.2008.4563123

BibTeX

@inproceedings{villegas2008cvprw-face,
  title     = {{Face Verification on Color Images Using Local Features}},
  author    = {Villegas, Mauricio and Paredes, Roberto and Juan, Alfons and Vidal, Enrique},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2008},
  pages     = {1-6},
  doi       = {10.1109/CVPRW.2008.4563123},
  url       = {https://mlanthology.org/cvprw/2008/villegas2008cvprw-face/}
}