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Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 6, Iss. 4 — Apr. 1, 2008
  • pp: 255–257

A novel pose and illumination robust face recognition with a single training image per person algorithm

Junbao Li and Jeng-Shyang Pan  »View Author Affiliations


Chinese Optics Letters, Vol. 6, Issue 4, pp. 255-257 (2008)


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Abstract

In the real-world application of face recognition system, owing to the difficulties of collecting samples or storage space of systems, only one sample image per person is stored in the system, which is so-called one sample per person problem. Moreover, pose and illumination have impact on recognition performance. We propose a novel pose and illumination robust algorithm for face recognition with a single training image per person to solve the above limitations. Experimental results show that the proposed algorithm is an efficient and practical approach for face recognition.

© 2008 Chinese Optics Letters

OCIS Codes
(100.0100) Image processing : Image processing
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition
(100.5760) Image processing : Rotation-invariant pattern recognition

Citation
Junbao Li and Jeng-Shyang Pan, "A novel pose and illumination robust face recognition with a single training image per person algorithm," Chin. Opt. Lett. 6, 255-257 (2008)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-6-4-255


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