Face recognition using ordinal features

被引：0
|
作者：
Liao, SC
Lei, Z
Zhu, XX
Sun, ZA
Li, SZ
Tan, T
机构：
[1] Chinese Acad Sci, Ctr Biometr & Secur Res, Beijing 100080, Peoples R China
[2] Chinese Acad Sci, Natl Lab Pattern Recognit, Inst Automat, Beijing 100080, Peoples R China
来源：
ADVANCES IN BIOMETRICS, PROCEEDINGS | 2006年 / 3832卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：40 / 46
页数：7
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