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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)

Abstract

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.

Keywords

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.

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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

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