Demographic Classification with Local Binary Patterns

  • Zhiguang Yang
  • Haizhou Ai
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4642)

Abstract

LBP (Local Binary Pattern) as an image operator is used to extract LBPH (LBP histogram) features for texture description. In this paper, we present a novel method to use LBPH feature in ordinary binary classification problem. Given a restricted local patch, the Chi square distance between the extracted LBPH and a reference histogram is used as a measure of confidence belonging to the reference class, and an optimal reference histogram is obtained by iteratively optimization; real AdaBoost algorithm is used to learn a sequence of best local features iteratively and combine them into a strong classifier. The experiments on age, gender and ethnicity classification demonstrate its effectiveness.

Keywords

real AdaBoost LBPH demographic classification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Zhiguang Yang
    • 1
  • Haizhou Ai
    • 1
  1. 1.Department of Computer Science and Technology, Tsinghua University, Beijing 100084China

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