| 基于KPCA和FMSD的人脸识别 |
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| 引用本文： | 曾接贤,田金权,符祥. 基于KPCA和FMSD的人脸识别[J]. 计算机工程, 2011, 37(17): 19-22,28 |
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| 作者姓名： | 曾接贤 田金权 符祥 |
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| 作者单位： | 南昌航空大学软件学院,南昌,330063 |
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| 基金项目： | 国家自然科学基金资助项目(60675022); 江西省自然科学基金资助项目(2008GZS0034); 航空科学基金资助项目(20085556017) |
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| 摘 要： | 针对核最大散度差(KMSD)方法在人脸识别中存在边缘类和次优性问题，提出一种基于核主成分分析(KPCA)与模糊最大散度差(FMSD)的人脸识别方法(KFMSD)。利用KPCA方法提取人脸的非线性结构特征，选取投影后类间散度大于类内散度的特征向量作为最优投影轴，采用FMSD方法，根据隶属度函数将样本的原始分布信息完全融入人脸的特征提取中，采用最近邻分类器进行分类识别。在ORL和YALE人脸库上的实验证明了KFMSD方法的有效性。
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| 关 键 词： | 人脸识别 核主成分分析 模糊最大散度差 核最大散度差 特征提取 |
| 收稿时间： | 2011-04-01 |
Face Recognition Based on Kernel Principal Component Analysis and Fuzzy Maximum Scatter Difference |
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| ZENG Jie-xian,TIAN Jin-quan,FU Xiang. Face Recognition Based on Kernel Principal Component Analysis and Fuzzy Maximum Scatter Difference[J]. Computer Engineering, 2011, 37(17): 19-22,28 |
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| Authors: | ZENG Jie-xian TIAN Jin-quan FU Xiang |
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| Affiliation: | ZENG Jie-xian,TIAN Jin-quan,FU Xiang (School of Software,Nanchang Hangkong University,Nanchang 330063,China) |
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| Abstract: | Considering the outer classes and inferior problem in Kernel Maximum Scatter Difference(KMSD) method,a new method of face recognition based on Kernel Principal Component Analysis(KPCA) and Fuzzy Maximum Scatter Difference(FMSD) is developed.The KPCA can be benefit to develop the nonlinear structures features in faces.Selecting the eigenvectors that between-class scatter is greater than within-class scatter after projection as optimal projection axis.Distribution information of samples is represented with fu... |
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| Keywords: | face recognition Kernel Principal Component Analysis(KPCA) Fuzzy Maximum Scatter Difference(FMSD) Kernel Maximum Scatter Difference(KMSD) feature extraction |
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