Face Recognition Using Ordinal Features

  • ShengCai Liao
  • Zhen Lei
  • XiangXin Zhu
  • Zhenan Sun
  • Stan Z. Li
  • Tieniu Tan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3832)

Abstract

In this paper, we present an ordinal feature based method for face recognition. Ordinal features are used to represent faces. Hamming distance of many local sub-windows is computed to evaluate differences of two ordinal faces. AdaBoost learning is finally applied to select most effective hamming distance based weak classifiers and build a powerful classifier. Experiments demonstrate good results for face recognition on the FERET database, and the power of learning ordinal features for face recognition.

Keywords

Face Recognition Face Detection FERET Database Face Recognition Performance Ordinal Relationship 
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

  • ShengCai Liao
    • 1
  • Zhen Lei
    • 1
  • XiangXin Zhu
    • 1
  • Zhenan Sun
    • 1
  • Stan Z. Li
    • 1
  • Tieniu Tan
    • 1
  1. 1.Center for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of AutomationChinese Academy of SciencesBeijingChina

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