ML Anthology

Eye Center Localization Using Adaptive Templates

Jürgen Rurainsky, Peter Eisert
CVPR 2004 pp. 67
doi:10.1109/CVPR.2004.339 /cvpr/2004/rurainsky2004cvpr-eye/

Abstract

We present a reliable eye center localization algorithm from one color image of a human face. The detection is based on deformable templates, which are only controlled by four parameters. Our algorithm works instantaneously and does not need a preprocessing step like the creation of a database or initial parameters. The experimental results show that the presented technique is very robust under different illumination conditions including pictures of people with glasses and different face sizes.

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Cite

Text

Rurainsky and Eisert. "Eye Center Localization Using Adaptive Templates." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.339

Markdown

[Rurainsky and Eisert. "Eye Center Localization Using Adaptive Templates." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/rurainsky2004cvpr-eye/) doi:10.1109/CVPR.2004.339

BibTeX

@inproceedings{rurainsky2004cvpr-eye,
  title     = {{Eye Center Localization Using Adaptive Templates}},
  author    = {Rurainsky, Jürgen and Eisert, Peter},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {67},
  doi       = {10.1109/CVPR.2004.339},
  url       = {https://mlanthology.org/cvpr/2004/rurainsky2004cvpr-eye/}
}