| PCA算法及其在人脸识别中的应用 |
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| 引用本文： | 谢永林.PCA算法及其在人脸识别中的应用[J].计算机与现代化,2009(6). |
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| 作者姓名： | 谢永林 |
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| 作者单位： | 宁波大红鹰学院软件学院,浙江,宁波,315000 |
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| 摘 要： | 线性特征提取在人脸识别中的应用非常广泛,PCA是其主要方法之一,本文详细介绍了它所基于的K-L变换原理,实现了一个基于该算法的人脸识别系统,并用ORL人脸数据进行了实验验证.实验证明该方法是基本可行的,对实际应用有一定的参考价值.
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| 关 键 词： | 人脸识别 线性特征提取 |
PCA Algorithm and Its Application in Face Recognition |
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| XIE Yong-lin.PCA Algorithm and Its Application in Face Recognition[J].Computer and Modernization,2009(6). |
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| Authors: | XIE Yong-lin |
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| Affiliation: | College of Software;Ningbo Dahongying University;Ningbo 315000;China |
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| Abstract: | Principal Component Analysis(PCA) is a linear feature extracting method using K-L transform in face recognition.This paper presents the K-L transform in details,designs a simple face recognition system to prove the validity,the experiment results show that the algorithms are accessible,and the systems is also capable to some extent. |
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| Keywords: | PCA |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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