| 融合小波与2D PCA的贝叶斯人脸识别 |
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| 引用本文： | 牛丽平,郑延斌,李新源,窦育强.融合小波与2D PCA的贝叶斯人脸识别[J].计算机工程与应用,2009,45(13):179-181. |
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| 作者姓名： | 牛丽平 郑延斌 李新源 窦育强 |
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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： | 提出了融合小波和2DPCA进行贝叶斯人脸识别的方法。对原始图像采用小波分解后,利用2DPCA计算人脸的特征矢量空间。首先对低频子图进行贝叶斯人脸识别,然后对得分前五名的图像再次利用高频子图并行进行识别,通过加权排序得到最后结果。实验表明,与传统的方法相比较,该方法降低了运算量,提高了识别率。
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| 关 键 词： | 人脸识别 小波变换 二维主元分析 贝叶斯方法 |
| 收稿时间： | 2008-12-8 |
| 修稿时间： | 2009-2-18
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Bayesian face recognition using wavelet transform and 2DPCA |
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| NIU Li-ping,ZHENG Yan-bin,LI Xin-yuan,DOU Yu-qiang.Bayesian face recognition using wavelet transform and 2DPCA[J].Computer Engineering and Applications,2009,45(13):179-181. |
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| Authors: | NIU Li-ping ZHENG Yan-bin LI Xin-yuan DOU Yu-qiang |
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| Affiliation: | NIU Li-ping,ZHENG Yan-bin,LI Xin-yuan,DOU Yu-qiangCollege of Computer , Information Technology,Henan Normal University,Xinxiang,Henan 453007,China |
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| Abstract: | A novel Bayesian approach to face recognition based on wavelet transform and 2DPCA is proposed.The original image is decomposed into low frequency and high frequency sub-band images by applying wavelet transform,the 2DPCA algorithm is used to compute the eigenvector space of the face.Firstly Bayesian approach is used to the low-frequency sub-band,secondly for the selected top 5 match faces,Bayesian recognition is parallel processed using these high frequency sub-band images.The face recognition result is ga... |
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| Keywords: | face recognition wavelet transform Two-Dimensional Principal Component Analysis（2DPCA） Bayesian theory |
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