OSA's Digital Library

Chinese Optics Letters

Chinese Optics Letters

| PUBLISHED MONTHLY BY CHINESE LASER PRESS AND DISTRIBUTED BY OSA

  • Vol. 3, Iss. 6 — Jun. 10, 2005
  • pp: 330–332

Face recognition using improved-LDA with facial combined feature

Dake Zhou, Xin Yang, and Ningsong Peng  »View Author Affiliations


Chinese Optics Letters, Vol. 3, Issue 6, pp. 330-332 (2005)


View Full Text Article

Acrobat PDF (216 KB)





Browse Journals / Lookup Meetings

Browse by Journal and Year


   


Lookup Conference Papers

Close Browse Journals / Lookup Meetings

Article Tools

Share
Citations
  • Export Citation/Save Click for help

Abstract

Face recognition subjected to various conditions is a challenging task. This paper presents a combined feature improved Fisher classifier method for face recognition. Both of the facial holistic information and local information are used for face representation. In addition, the improved linear discriminant analysis (I-LDA) is employed for good generalization capability. Experiments show that the method is not only robust to moderate changes of illumination, pose and facial expression but also superior to the traditional methods, such as eigenfaces and Fisherfaces.

© 2005 Chinese Optics Letters

OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2960) Image processing : Image analysis
(100.5010) Image processing : Pattern recognition

Citation
Dake Zhou, Xin Yang, and Ningsong Peng, "Face recognition using improved-LDA with facial combined feature," Chin. Opt. Lett. 3, 330-332 (2005)
http://www.opticsinfobase.org/col/abstract.cfm?URI=col-3-6-330


Sort:  Author  |  Year  |  Journal  |  Reset

References

  1. W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld, ACM Computing Surveys 35, 399 (2003).
  2. P. Belhumeur, J. Hespanha, and D. Kriegman, IEEE Trans. PAMI 19, 711 (1997).
  3. C. Liu and H. Wechsler, IEEE Trans. Image Processing 11, 467 (2002).
  4. D. Zhou and X. Yang, in Lecture Notes in Computer Science 3212 A. Campilho and M. Kamel (eds.) (Springer-Verlag, Berlin Heidelberg, 2004) P692.
  5. Z. M. Hafed and M. D. Levine, International J. Computer Vision 43, 167 (2001).
  6. M. A. Turk and A. P. Pentland, in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), 586 (1991).

Cited By

OSA is able to provide readers links to articles that cite this paper by participating in CrossRef's Cited-By Linking service. CrossRef includes content from more than 3000 publishers and societies. In addition to listing OSA journal articles that cite this paper, citing articles from other participating publishers will also be listed.

« Previous Article  |  Next Article »

OSA is a member of CrossRef.

CrossCheck Deposited