| 基于径向基函数网络的人脸识别 |
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| 引用本文： | 葛强,叶会英,王忠勇,陈恩庆. 基于径向基函数网络的人脸识别[J]. 河南科学, 2003, 21(3): 290-294 |
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| 作者姓名： | 葛强 叶会英 王忠勇 陈恩庆 |
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| 作者单位： | 郑州大学信息工程学院,河南,郑州,450052 |
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| 摘 要： | 提出了利用径向基函数网络(RBF)识别人脸的方法,分析了其识别原理,讨论了网络结构的设计,给出了各层节点,隐居中心向量及形状参数的选取原则,并针对ORL人脸库的多幅人脸图像进行了识别实验。实验结果表明,RBF网络的识别效果较好,且其学习算法要比BP网络的学习算法简单。
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| 关 键 词： | 径向基函数网络 人脸识别 感受野 人脸库 |
| 文章编号： | 1004-3918(2003)03-0290-05 |
| 修稿时间： | 2003-01-19 |
Human face recognition based on Radial Base Functions Network |
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| GE Qiang,YE Hui-ying,WANG Zhong-yong,CHEN En-qing. Human face recognition based on Radial Base Functions Network[J]. Henan Science, 2003, 21(3): 290-294 |
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| Authors: | GE Qiang YE Hui-ying WANG Zhong-yong CHEN En-qing |
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| Abstract: | In this paper, we applied Radial Base Functions Network to recognize human face, and analysed the recognition principle. The design of network structure, as well as the problem of choosing node numbers in every layer, node centre vectors and shape paramater in hidden layer are discussed in details. Expriments have been conducted based on face photoes in ORL face database. The expriments results show the recognition effect is fairish, and the study algorithm of RBF is simpler than the BP algorithm. |
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| Keywords: | Radial Base Functions Network face recognition receptive field face database |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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