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 [BibTeX] [Marc21]
Improving Face Verification using Skin Color Information
Type of publication: Idiap-RR
Citation: Marcel01-44IRR
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.
Userfields: ipdinar={2001}, ipdmembership={vision}, language={English},
Keywords:
Projects Idiap
Authors Marcel, S├ębastien
Bengio, Samy
Crossref by marcel:2002:icpr
Added by: [UNK]
Total mark: 0
Attachments
  • rr01-44.pdf
  • rr01-44.ps.gz
Notes