Feature extraction methods for real-time face detection and classification

被引：5

作者：

Masip, D ^{[1
]}

Bressan, M ^{[1
]}

Vitrià, J ^{[1
]}

机构：

[1] Univ Autonoma Barcelona, Dept Informat, CVC, Bellaterra 08193, Spain

来源：

EURASIP JOURNAL ON APPLIED SIGNAL PROCESSING | 2005年 / 2005卷 / 13期

关键词：

face detection; face recognition; boosting; feature extraction;

D O I：

10.1155/ASP.2005.2061

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：

We propose a complete scheme for face detection and recognition. We have used a Bayesian classifier for face detection and a nearest neighbor approach for face classification. To improve the performance of the classifier, a feature extraction algorithm based on a modified nonparametric discriminant analysis has also been implemented. The complete scheme has been tested in a real-time environment achieving encouraging results. We also show a new boosting scheme based on adapting the features to the misclassified examples, achieving also interesting results.

引用

页码：2061 / 2071

页数：11

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