SVM and Adaboost-based Classifiers with Fast PCA for Face Reocognition

被引：0

作者：

Yao, Min ^{[1
]}

Zhu, Changming ^{[1
]}

机构：

[1] Shanghai Maritime Univ, Coll Informat Engn, Hai Gang Ave 1550, Shanghai 201306, Peoples R China

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-CHINA (ICCE-CHINA) | 2016年

基金：

上海市自然科学基金;

关键词：

face recognition; fast PCA; SVM; Adaboost; RECOGNITION;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Face recognition has been receiving continuous academic and commercial attention for the last decades. In this paper, we construct two face recognition systems adopting SVM and Adaboost as the classifiers with fast PCA for facial feature representation. The detailed discussions about algorithm realization are given. Comparison between the two systems and analysis of them are provided through several experiments on ORL face database. We also test them on face images under various conditions.

引用

页数：5

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