A discriminant color space method for face representation and verification on a large-scale database

Jian Yang, Chengjun Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

18 Scopus citations

Abstract

In a wide range of color-related computer vision applications, researchers tried to select one of the conventional color spaces as the optimum one. This paper, however, addresses the problem of how to learn an optimum color space from the given training sample set. We seek a set of optimal coefficients to combine the R, G and B components based on a discriminant criterion and then gain one discriminant color component for representing color image for recognition purposes. Further, we can obtain three sets of optimal combination coefficients and use them to generate a three-dimensional discriminant color space (DCS). The proposed DCS method was assessed on Experiment 4 of the Face Recognition Grand Challenge (FRGC) database and the experimental results show the proposed discriminant color space significantly outperforms the RGB and Ig(r-g) color spaces.

Original languageEnglish (US)
Title of host publication2008 19th International Conference on Pattern Recognition, ICPR 2008
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781424421756
DOIs
StatePublished - Jan 1 2008

Publication series

NameProceedings - International Conference on Pattern Recognition
ISSN (Print)1051-4651

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

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