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Demographic Classification with Local Binary Zhiguang Yang and Haizhou Ai
 

Summary: Demographic Classification with Local Binary
Patterns
Zhiguang Yang and Haizhou Ai
Department of Computer Science and Technology,
Tsinghua University, Beijing 100084, China
ahz@mail.tsinghua.edu.cn
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.
Key words: real AdaBoost, LBPH, demographic classification
1 Introduction
LBP operator was introduced by Ojala in 1996 [14] for texture classification,
later it was used for face recognition [1], facial expression recognition [2] and

  

Source: Ai, Haizhou - Department of Computer Science and Technology, Tsinghua University

 

Collections: Computer Technologies and Information Sciences