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An Experimental Study on Automatic Face Gender Classification Zhiguang YANG1
 

Summary: An Experimental Study on Automatic Face Gender Classification
Zhiguang YANG1
, Ming LI2
, Haizhou AI1
1
Computer Science and Technology Department, Tsinghua University, Beijing 100084, China
2
Nanshan Branch, Shenzhen Public Security Bureau, Shenzhen 518052, China
E-mail: ahz@mail.tsinghua.edu.cn
Abstract
This paper presents an experimental study on auto-
matic face gender classification by building a system
that mainly consists of four parts, face detection, face
alignment, texture normalization and gender classifi-
cation. Comparative study on the effects of different
texture normalization methods including two kinds of
affine mapping and one Delaunay triangulation based
warping as preprocesses for gender classification by
SVM, LDA and Real Adaboost respectively is reported
through experiments on very large sets of snapshot

  

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

 

Collections: Computer Technologies and Information Sciences