%Aigaion2 BibTeX export from Idiap Publications
%Friday 05 December 2025 05:22:51 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},
}