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 [BibTeX] [Marc21]
Robust Face Verification using Skin Color and Neural Networks
Type of publication: Idiap-RR
Citation: Marcel02-49IRR
Number: Idiap-RR-49-2002
Year: 2002
Institution: IDIAP
Abstract: The performance of face verification systems has steadily improved over the last few years. State-of-the-art methods often use the gray-scale face image as input. In this paper, we use an additional feature to the face image: the skin color. The feature set is tested on a benchmark database, namely XM2VTS, using a simple discriminant artificial neural network. Results show that the proposed model achieves robust state-of-the-art results.
Userfields: ipdinar={2002}, ipdmembership={vision}, language={English},
Keywords:
Projects Idiap
Authors Marcel, S├ębastien
Added by: [UNK]
Total mark: 0
Attachments
  • rr02-49.pdf
  • rr02-49.ps.gz
Notes