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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 22, Iss. 2 — Feb. 1, 2005
  • pp: 217–229

Image-based face recognition under illumination and pose variations

Shaohua Kevin Zhou and Rama Chellappa  »View Author Affiliations


JOSA A, Vol. 22, Issue 2, pp. 217-229 (2005)
http://dx.doi.org/10.1364/JOSAA.22.000217


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Abstract

We present an image-based method for face recognition across different illuminations and poses, where the term image-based means that no explicit prior three-dimensional models are needed. As face recognition under illumination and pose variations involves three factors, namely, identity, illumination, and pose, generalizations in all these three factors are desired. We present a recognition approach that is able to generalize in the identity and illumination dimensions and handle a given set of poses. Specifically, the proposed approach derives an identity signature that is illumination- and pose-invariant, where the identity is tackled by means of subspace encoding, the illumination is characterized with a Lambertian reflectance model, and the given set of poses is treated as a whole. Experimental results using the Pose, Illumination, and Expression (PIE) database demonstrate the effectiveness of the proposed approach.

© 2005 Optical Society of America

OCIS Codes
(100.5010) Image processing : Pattern recognition
(150.2950) Machine vision : Illumination

History
Original Manuscript: January 6, 2004
Revised Manuscript: June 16, 2004
Manuscript Accepted: September 9, 2004
Published: February 1, 2005

Citation
Shaohua Kevin Zhou and Rama Chellappa, "Image-based face recognition under illumination and pose variations," J. Opt. Soc. Am. A 22, 217-229 (2005)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-22-2-217

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