%Aigaion2 BibTeX export from Idiap Publications
%Thursday 02 May 2024 08:01:12 PM

@INPROCEEDINGS{marcel:2002:icpr,
         author = {Marcel, S{\'{e}}bastien and Bengio, Samy},
       projects = {Idiap},
          title = {Improving Face Verification using Skin Color Information},
      booktitle = {Proceedings of the 16th International Conference on Pattern Recognition},
           year = {2002},
      publisher = {IEEE Computer Society Press},
       crossref = {marcel01-44irr},
            pdf = {https://publications.idiap.ch/attachments/reports/2002/marcel_2002_icpr.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2002/marcel_2002_icpr.ps.gz},
ipdmembership={vision},
}



crossreferenced publications: 
@TECHREPORT{Marcel01-44IRR,
         author = {Marcel, S{\'{e}}bastien and Bengio, Samy},
       projects = {Idiap},
          title = {Improving Face Verification using Skin Color Information},
           type = {Idiap-RR},
         number = {Idiap-RR-44-2001},
           year = {2001},
    institution = {IDIAP},
           note = {Published in the Proceedings of the International {C}onference on {P}attern {R}ecognition, Quebec City, Canada, 2002},
       abstract = {The performance of face verification systems has steadily improved over the last few years, mainly focusing on models rather than on feature processing. State-of-the-art methods often use the gray-scale face image as input. In this paper, we propose to use an additional feature to the face image: the skin color. The new feature set is tested on a benchmark database, namely XM2VTS, using a simple discriminant artificial neural network. Results show that the skin color information improves significantly the performance.},
            pdf = {https://publications.idiap.ch/attachments/reports/2001/rr01-44.pdf},
     postscript = {ftp://ftp.idiap.ch/pub/reports/2001/rr01-44.ps.gz},
ipdinar={2001},
ipdmembership={vision},
language={English},
}