Recognize Color Face Images Using Complex Eigenfaces

  • Jian Yang
  • David Zhang
  • Yong Xu
  • Jing-yu Yang
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)


A strategy of color image based human face representation is first proposed. Then, based on this representation, complex Eigenfaces technique is developed for facial feature extraction. Finally, we test our idea using the AR face database. The experimental result demonstrates that the proposed color image based complex Eigenfaces method is more robust to illumination variations than the traditional grayscale image based Eigenfaces.


Face Recognition Color Image Illumination Condition Grayscale Image Illumination Variation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Zhao, W., Chellappa, R., Rosenfeld, A., Phillips, P.: Face recognition: A literature survey. Technical Report CAR-TR-948, UMD CS-TR-4167R (August 2002)Google Scholar
  2. 2.
    Turk, M., Pentland, A.: Eigenfaces for recognition. J. Cognitive Neuroscience 3(1), 71–86 (1991)CrossRefGoogle Scholar
  3. 3.
    Turk, M., Pentland, A.: Face recognition using Eigenfaces. In: Proc. IEEE Conf. On Computer Vision and Pattern Recognition, pp. 586–591 (1991)Google Scholar
  4. 4.
    Wang, Y., Yuan, B.: A novel approach for human face detection from color images under complex background. Pattern Recognition 34(10), 1983–1992 (2001)zbMATHCrossRefMathSciNetGoogle Scholar
  5. 5.
    Yang, J., Yang, J.-Y.: Generalized K-L transformed based combined feature extraction. Pattern Recognition 35(1), 295–297 (2002)zbMATHCrossRefGoogle Scholar
  6. 6.
    Yang, J., Yang, J.-Y., Zhang, D., Lu, J.F.: Feature fusion: parallel strategy vs. serial strategy. Pattern Recognition 36(6), 1369–1381 (2003)zbMATHCrossRefGoogle Scholar
  7. 7.
    Martinez, A.M., Benavente, R.: The AR Face Database. CVC Technical.Report #24 (June 1998)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jian Yang
    • 1
  • David Zhang
    • 1
  • Yong Xu
    • 2
  • Jing-yu Yang
    • 3
  1. 1.Department of ComputingHong Kong Polytechnic UniversityKowloon, Hong Kong
  2. 2.Bio-Computing Research Center and Shenzhen graduate schoolHarbin Institute of TechnologyShenzhenChina
  3. 3.Department of Computer ScienceNanjing University of Science and TechnologyNanjingP.R. China

Personalised recommendations