%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{rodriguez:eccv:2006,
         author = {Rodriguez, Yann and Marcel, S{\'{e}}bastien},
       projects = {Idiap},
          title = {Face Authentication Using Adapted Local Binary Pattern Histograms},
      booktitle = {9th European Conference on Computer Vision ({ECCV})},
           year = {2006},
           note = {IDIAP-RR 06-06},
       crossref = {rodriguez:rr06-06},
       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/papers/2006/rodrig-eccv-2006.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/papers/2006/rodrig-eccv-2006.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@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},
}