Combining classifiers for robust face detection

被引：0
|
作者：
Huang, Lin-Lin
Shimizu, Akinobu
机构：
[1] Beijing Univ Aeronaut & Astronaut, Beijing 100083, Peoples R China
[2] Tokyo Univ Agr & Technol, Koganei, Tokyo 1848588, Japan
来源：
ADVANCES IN NEURAL NETWORKS - ISNN 2006, PT 2, PROCEEDINGS | 2006年 / 3972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 propose a face detection method by combining classifiers. We apply two classifiers using features extracted from complementary feature subspaces learned by principal component analysis (PCA). The two classifiers employ the same classification model named a polynomial neural network (PNN). The outputs of the two classifiers are fused to make the final decision. The effectiveness of the proposed method has been demonstrated in experimentals.
引用
收藏
页码：116 / 121
页数：6
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