| 基于二维PCA的人脸识别方法研究 |
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| 引用本文： | 韩柯,朱秀昌. 基于二维PCA的人脸识别方法研究[J]. 杭州电子科技大学学报, 2007, 27(1): 69-72 |
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| 作者姓名： | 韩柯 朱秀昌 |
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| 作者单位： | 南京邮电大学通信与信息工程学院,江苏,南京,210003 |
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| 摘 要： | 该文提出了一种基于二维PCA的类内平均脸方法进行人脸的特征提取.首先利用类内平均脸对人脸训练样本进行规范化处理,根据规范化之后的人脸训练样本计算图像协方差矩阵,并求解一组最优特征向量,然后将人脸样本投影到这组最优特征向量上来提取人脸的特征,最后采用最近邻距离分类器来分类所提取的特征.此方法在NUST603人脸图像库上进行了实验,验证了该方法的有效性.
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| 关 键 词： | 人脸识别 特征提取 图像处理 模式识别 人脸 识别方法 研究 Based Face Recognition 有效性 验证 实验 图像库 最近邻距离分类器 特征向量 特征提取 投影 训练样本 最优 求解 协方差矩阵 计算 规范化处理 利用 |
| 文章编号： | 1001-9146（2007）01-0069-04 |
| 收稿时间： | 2006-06-10 |
| 修稿时间： | 2006-06-10 |
Research on Face Recognition Based on Two - dimensional PCA |
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| HAN Ke,ZHU Xiu-chang. Research on Face Recognition Based on Two - dimensional PCA[J]. Journal of Hangzhou Dianzi University, 2007, 27(1): 69-72 |
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| Authors: | HAN Ke ZHU Xiu-chang |
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| Affiliation: | College of Telecom. and Info. Eng., Nanjing, University of Posts and Telecom., Nanjing Jiangsu 210003, China |
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| Abstract: | In this paper, a method based on within - class average faces of two - dimensional PCA is proposed for face featttre extraction. First, face training samples are normalized by using the corresponding within - class average face images. According to the normalized face training samples, the image covariance matrix is calculated to obtain a family of the optimal feature vectors. Then the face samples are projected onto the family of the optimal feature vectors to extract the face features. Finally, a nearest neighbor distance classifier is employed to classify the extracted features. Experimental results on the NUST603 face database show the method in this paper is effective. |
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| Keywords: | face recognition feature extraction image processing pattern recognition |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
