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@TECHREPORT{rodriguez:rr06-06,
                      author = {Rodriguez, Yann and Marcel, S{\'{e}}bastien},
                    projects = {Idiap},
                       title = {Face Authentication Using Adapted Local Binary Pattern Histograms},
                        type = {Idiap-RR},
                      number = {Idiap-RR-06-2006},
                        year = {2006},
                 institution = {IDIAP},
                        note = {Published in 9th European Conference on Computer Vision {ECCV}, 2006},
                    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.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2006/rodrig-idiap-rr-06-06.pdf},
                  postscript = {ftp://ftp.idiap.ch/pub/reports/2006/rodrig-idiap-rr-06-06.ps.gz},
ipdmembership={vision},
}