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 [BibTeX] [Marc21]
A State-of-the-art Neural Network for Robust Face Verification
Type of publication: Idiap-RR
Citation: Marcel02-36IRR
Number: Idiap-RR-36-2002
Year: 2002
Institution: IDIAP
Note: Published in the Proceedings of the COST275 Workshop on The Advent of Biometrics on the Internet, Rome, Italy, 7-8 November, 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 the performance and that the proposed model achieves robust state-of-the-art results.
Userfields: ipdinar={2002}, ipdmembership={learning, vision}, language={English},
Keywords:
Projects Idiap
Authors Marcel, S├ębastien
Marcel, Christine
Bengio, Samy
Crossref by marcel:2002:cost
Added by: [UNK]
Total mark: 0
Attachments
  • rr02-36.pdf
  • rr02-36.ps.gz
Notes