Title :
An Experimental Study on Automatic Face Gender Classification
Author :
Yang, Zhiguang ; Li, Ming ; Ai, Haizhou
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing
Abstract :
This paper presents an experimental study on automatic face gender classification by building a system that mainly consists of four parts, face detection, face alignment, texture normalization and gender classification. 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 images
Keywords :
face recognition; image classification; image texture; mesh generation; Delaunay triangulation based warping; affine mapping; automatic face gender classification; face alignment; face detection; image texture normalization method; linear discriminant analysis; real Adaboost; support vector machine; Artificial intelligence; Computer science; Computer security; Electronic mail; Face detection; Face recognition; Nose; Shape; Support vector machine classification; Support vector machines;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.247
