%Aigaion2 BibTeX export from Idiap Publications
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@INPROCEEDINGS{heusch:AFGR:2006,
         author = {Heusch, Guillaume and Rodriguez, Yann and Marcel, S{\'{e}}bastien},
       projects = {Idiap},
          title = {Local Binary Patterns as an Image Preprocessing for Face Authentication},
      booktitle = {{IEEE} Int. Conf. on Automatic Face and Gesture Recognition ({AFGR})},
           year = {2006},
           note = {IDIAP-RR 05-76},
       crossref = {heusch:rr05-76},
       abstract = {One of the major problem in face authentication systems is to deal with variations in illumination. In a \mbox{realistic} scenario, it is very likely that the lighting conditions of the probe image does not correspond to those of the gallery image, hence there is a need to handle such variations. In this work, we present a new preprocessing algorithm based on Local Binary Patterns (LBP): a texture representation is derived from the input face image before being forwarded to the classifier. The efficiency of the proposed approach is empirically demonstrated using both an appearance-based (LDA) and a feature-based (HMM) face authentication systems on two databases: BANCA and XM2VTS (with its darkened set). Conducted experiments show a significant improvement in terms of verification error rates and compare to results obtained with state-of-the-art preprocessing techniques.},
            pdf = {https://publications.idiap.ch/attachments/papers/2006/heusch-AFGR-2006.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/papers/2006/heusch-AFGR-2006.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@TECHREPORT{heusch:rr05-76,
         author = {Heusch, Guillaume and Rodriguez, Yann and Marcel, S{\'{e}}bastien},
       projects = {Idiap},
          title = {Local Binary Patterns as an Image Preprocessing for Face Authentication},
           type = {Idiap-RR},
         number = {Idiap-RR-76-2005},
           year = {2005},
    institution = {IDIAP},
       abstract = {One of the major problem in face authentication systems is to deal with variations in illumination. In a \mbox{realistic} scenario, it is very likely that the lighting conditions of the probe image does not correspond to those of the gallery image, hence there is a need to handle such variations. In this work, we present a new preprocessing algorithm based on Local Binary Patterns (LBP): a texture representation is derived from the input face image before being forwarded to the classifier. The efficiency of the proposed approach is empirically demonstrated using both an appearance-based (LDA) and a feature-based (HMM) face authentication systems on two databases: BANCA and XM2VTS (with its darkened set). Conducted experiments show a significant improvement in terms of verification error rates and compare to results obtained with state-of-the-art preprocessing techniques.},
            pdf = {https://publications.idiap.ch/attachments/reports/2005/heusch-idiap-rr-05-76.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2005/heusch-idiap-rr-05-76.ps.gz},
ipdmembership={vision},
}