Research on algorithms of face recognition based on kernel function

被引：0
|
作者：
Wang, Lijuan [1 ]
Wang, Zhiliang [1 ]
Xu, Zhengguang [1 ]
Lu, Xiaojuan [1 ]
机构：
[1] Univ Sci & Technol Beijing, Dept Syst Engn, Beijing 100083, Peoples R China
来源：
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS | 2006年
关键词：
machine learning; face recognition; feature extraction; kernel method;
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：
The key technique of face recognition and the main characteristics of the kernel function are presented in this paper. Combined with the relative research results that are proposed lately, three algorithms of face recognition based-on kernel function which include kernel principal component analysis (KPCA), kernel fisher discriminating analysis (KFDA) and support vector machine (SVM) are presented. What is more, an experiment is put forward to show that when adopting the kernel method in the process of face recognition there exists technological advantage in the area of the efficiency of feature extraction and the generalization ability of classification.
引用
收藏
页码：239 / 242
页数：4
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