| 自适应主元提取算法及其在人脸图像特征提取中的应用 |
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| 引用本文： | 甘俊英,张有为,毛士艺. 自适应主元提取算法及其在人脸图像特征提取中的应用[J]. 电子学报, 2002, 30(7): 1013-1016 |
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| 作者姓名： | 甘俊英 张有为 毛士艺 |
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| 作者单位： | 1. 五邑大学信息科学研究所,广东江门 529020;2. 北京航空航天大学电子工程系203教研室,北京 100083 |
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| 基金项目： | 广东省自然科学基金 (No .0 0 0 872 ) |
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| 摘 要： | 本文指出了E.Oja将统计主元分析思想用于递推网络与S.Kung自适应主元提取(APEX)算法在提取特征信息上的共同点和差异,证明了该算法的收敛性.仿真结果验证了该算法的收敛性和稳定性,分析了主元数、子图像大小及学习率参数对该算法的影响,说明了该算法在人脸识别中是一种运算量较小的有效特征提取方法.
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| 关 键 词： | 神经网络 图像特征提取 主元分析 自适应主元提取算法 |
| 文章编号： | 0372-2112(2002)07-1013-04 |
| 收稿时间： | 2000-11-14 |
Adaptive Principal Components Extraction Algorithm and Its Applications in the Feature Extraction of Human Face |
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| GAN Jun-ying ,,ZHANG You-wei ,,MAO Shi-yi. Adaptive Principal Components Extraction Algorithm and Its Applications in the Feature Extraction of Human Face[J]. Acta Electronica Sinica, 2002, 30(7): 1013-1016 |
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| Authors: | GAN Jun-ying ZHANG You-wei MAO Shi-yi |
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| Affiliation: | 1. Institute of Information Science,Wuyi University,Jiangmen,Guangdong 529020,China;2. Dept.of Electronic Engineering,Beijing University of Aeronautics and Astronautics,Beijing 100083,China |
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| Abstract: | In this paper,the common grounds and differences between E.Oja's idea of statistical principal components analysis in recursion network and S.Kung's adaptive principal components extraction (APEX) algorithm in feature extraction are pointed out.The convergence of the algorithm is proved.Simulation results demonstrate the convergence and stability of the algorithm.It is analyzed that principal components number,subimage size and learning rate have effect on the algorithm.Therefore,it is expressed that the algorithm is a valid feature extraction method with less operation in face recognition. |
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| Keywords: | Neural Networks Image Feature Extraction Principal Components Analysis APEX Algorithm |
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