| 基于小波变换的Bayesian人脸识别方法 |
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| 引用本文： | 牛丽平,薛占熬.基于小波变换的Bayesian人脸识别方法[J].河南师范大学学报(自然科学版),2009,37(2). |
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| 作者姓名： | 牛丽平 薛占熬 |
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| 作者单位： | 河南师范大学,计算机与信息技术学院,河南,新乡,453007 |
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| 摘 要： | 从小波变换良好的多尺度特征表达能力和Bayesian方法良好的识别能力出发,提出了一种基于小波的Bayesian人脸识别方法.首先对人脸图像进行小波分解,其次对得到的每幅低频子图进行Bayesian人脸识别,最后利用Yale人脸图像库进行了试验.实验表明,与传统的方法相比较,该方法提高了识别率,降低了运算量.
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| 关 键 词： | 人脸识别 小波变换 Bayesian理论 PCA |
Bayesian Face Recognition Based On Wavelet Transform |
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| NIU Li-ping,XUE Zhan-ao.Bayesian Face Recognition Based On Wavelet Transform[J].Journal of Henan Normal University(Natural Science),2009,37(2). |
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| Authors: | NIU Li-ping XUE Zhan-ao |
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| Institution: | College of Computer and Information Technology;Henan Normal University;Xinxiang 453007;China |
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| Abstract: | Wavelet transform has a good ability to express the multi-resolution characteristics and Bayesian theory has demonstrated a success in face detection and face recognition.Bayesian face recognition based on wavelet transform is proposed.Then,Bayesian approach is used to the low-frequency sub-band.Its efficiency and superiority are clarified by comparative experiment on Yale database. |
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| Keywords: | PCA |
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