Face Authentication Using Adapted Local Binary Pattern Histograms
Abstract
In this paper, we propose a novel generative approach for face authentication, based on a Local Binary Pattern (LBP) description of the face. A generic face model is considered as a collection of LBP-histograms. Then, a client-specific model is obtained by an adaptation technique from this generic model under a probabilistic framework. We compare the proposed approach to standard state-of-the-art face authentication methods on two benchmark databases, namely XM2VTS and BANCA, associated to their experimental protocol. We also compare our approach to two state-of-the-art LBP-based face recognition techniques, that we have adapted to the verification task.
Cite
Text
Rodriguez and Marcel. "Face Authentication Using Adapted Local Binary Pattern Histograms." European Conference on Computer Vision, 2006. doi:10.1007/11744085_25Markdown
[Rodriguez and Marcel. "Face Authentication Using Adapted Local Binary Pattern Histograms." European Conference on Computer Vision, 2006.](https://mlanthology.org/eccv/2006/rodriguez2006eccv-face/) doi:10.1007/11744085_25BibTeX
@inproceedings{rodriguez2006eccv-face,
title = {{Face Authentication Using Adapted Local Binary Pattern Histograms}},
author = {Rodriguez, Yann and Marcel, Sébastien},
booktitle = {European Conference on Computer Vision},
year = {2006},
pages = {321-332},
doi = {10.1007/11744085_25},
url = {https://mlanthology.org/eccv/2006/rodriguez2006eccv-face/}
}