ML Anthology

Face Authentication Using the Trace Transform

Sanun Srisuk, Maria Petrou, Werasak Kurutach, Alexander Kadyrov
CVPR 2003 pp. 305-312
doi:10.1109/CVPR.2003.1211368 /cvpr/2003/srisuk2003cvpr-face/

Abstract

We introduce a face representation, the shape trace transform (STT), for recognizing faces in an authentication system. The STT offers an alternative representation for faces that has a very high discriminatory power. We estimate the dissimilarity between two shapes by a new measure. We propose the Hausdorff context. Reinforcement learning is used to search the optimal parameters of the algorithm, for which the within class variance of the STT is minimized. This research demonstrates that the proposed method provides a new way for face representation. Our system is verified with experiments on the XM2VTS database.

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Cite

Text

Srisuk et al. "Face Authentication Using the Trace Transform." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003. doi:10.1109/CVPR.2003.1211368

Markdown

[Srisuk et al. "Face Authentication Using the Trace Transform." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2003.](https://mlanthology.org/cvpr/2003/srisuk2003cvpr-face/) doi:10.1109/CVPR.2003.1211368

BibTeX

@inproceedings{srisuk2003cvpr-face,
  title     = {{Face Authentication Using the Trace Transform}},
  author    = {Srisuk, Sanun and Petrou, Maria and Kurutach, Werasak and Kadyrov, Alexander},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2003},
  pages     = {305-312},
  doi       = {10.1109/CVPR.2003.1211368},
  url       = {https://mlanthology.org/cvpr/2003/srisuk2003cvpr-face/}
}