| 基于奇异向量和奇异值的人脸识别新方法 |
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| 引用本文： | 刘文超,陈艳红.基于奇异向量和奇异值的人脸识别新方法[J].桂林电子科技大学学报,2005,25(6):49-52. |
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| 作者姓名： | 刘文超 陈艳红 |
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| 作者单位： | 汕头大学工学院,电子系,广东,汕头,515063 |
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| 摘 要： | 通过提出一种基于奇异值向量和奇异值的人脸识别新方法——正交奇异值方法,将奇异向量 和奇异值中的信息有效结合,克服了目前基于奇异值分解的识别方法中,要么丢弃了奇异值中的信息, 要么丢弃了奇异向量中的信息,识别效果并不理想的缺陷。在ORL国际标准人脸库上实验显示,与目前 基于奇异值分解的识别方法相较,该方法达到了更好的识别效果。
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| 关 键 词： | 人脸识别 奇异值 奇异向量 奇异值分解 特征提取 |
| 文章编号： | 1001-7437(2005)06-49-04 |
| 修稿时间： | 2005年10月7日 |
Face Recognition Approach Based on Singular Vector and Singular Value |
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| LIU Wen-chao,CHEN Yan-hong.Face Recognition Approach Based on Singular Vector and Singular Value[J].Journal of Guilin Institute of Electronic Technology,2005,25(6):49-52. |
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| Authors: | LIU Wen-chao CHEN Yan-hong |
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| Abstract: | Methods of recognizing singular values or singular vector projection coefficients of SVD as face fea-tures are proposed and used popularly. However, these methods discard the information either in singular vectors or in singular values. In order to preserve this two kinds of information,we propose a new method which can preserve both of them.The ORL face database is used in experiment and experiment results indicate that the novel method is effective and superior to many existing methods. |
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| Keywords: | face recognition singular value singular vector singular value decomposition feature extraction |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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