ML Anthology

On the Use of SIFT Features for Face Authentication

Manuele Bicego, Andrea Lagorio, Enrico Grosso, Massimo Tistarelli
CVPRW 2006 pp. 35
doi:10.1109/CVPRW.2006.149 /cvprw/2006/bicego2006cvprw-use/

Abstract

Several pattern recognition and classification techniques have been applied to the biometrics domain. Among them, an interesting technique is the Scale Invariant Feature Transform (SIFT), originally devised for object recognition. Even if SIFT features have emerged as a very powerful image descriptors, their employment in face analysis context has never been systematically investigated. This paper investigates the application of the SIFT approach in the context of face authentication. In order to determine the real potential and applicability of the method, different matching schemes are proposed and tested using the BANCA database and protocol, showing promising results.

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Cite

Text

Bicego et al. "On the Use of SIFT Features for Face Authentication." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006. doi:10.1109/CVPRW.2006.149

Markdown

[Bicego et al. "On the Use of SIFT Features for Face Authentication." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2006.](https://mlanthology.org/cvprw/2006/bicego2006cvprw-use/) doi:10.1109/CVPRW.2006.149

BibTeX

@inproceedings{bicego2006cvprw-use,
  title     = {{On the Use of SIFT Features for Face Authentication}},
  author    = {Bicego, Manuele and Lagorio, Andrea and Grosso, Enrico and Tistarelli, Massimo},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2006},
  pages     = {35},
  doi       = {10.1109/CVPRW.2006.149},
  url       = {https://mlanthology.org/cvprw/2006/bicego2006cvprw-use/}
}