| 局部非参数子空间分析在人脸识别中的应用 |
| |
| 引用本文： | 程 强,陈秀宏.局部非参数子空间分析在人脸识别中的应用[J].计算机工程与应用,2014,50(3):141-144. |
| |
| 作者姓名： | 程 强 陈秀宏 |
| |
| 作者单位： | 江南大学 数字媒体学院，江苏 无锡 214122 |
| |
| 基金项目： | 江苏省科研创新计划项目（No.CXLX11_04910）；中央高校基本科研业务费专项资金资助（No.JUSRT211A70）。 |
| |
| 摘 要： | 提出了一种局部非参数子空间分析算法（Local Nonparametric Subspace Analysis，LNSA），将其应用在人脸识别中。LNSA算法结合了非参数子空间算法（Nonparametric Subspace Analysis，NSA）与局部保留投影算法（Locality Preserving Projection，LPP）。它利用LPP算法中的相似度矩阵重构NSA的类内散度矩阵，使得在最大化类间散度矩阵的同时保留了类的局部结构。在ORL人脸库和XM2VTS人脸库上作了实验并证明LNSA方法要优于其他方法。
|
| 关 键 词： | 人脸识别 非参数子空间分析 局部保留投影 局部鉴别分析 局部非参数子空间分析 |
Local nonparametric subspace analysis with applications to face recognition |
| |
| CHENG Qiang,CHEN Xiuhong.Local nonparametric subspace analysis with applications to face recognition[J].Computer Engineering and Applications,2014,50(3):141-144. |
| |
| Authors: | CHENG Qiang CHEN Xiuhong |
| |
| Affiliation: | School of Digital Media, Jiangnan University, Wuxi, Jiangsu 214122, China |
| |
| Abstract: | A local nonparametric subspace analysis algorithm is proposed and applied to face recognition. The algorithm, which combines nonparametric subspace analysis with locality preserving projection and reconstructs the within-class scatter matrix by the affinity matrix of locality preserving projection algorithm, makes it possible to maximize the between-class scatter matrix and meanwhile to preserve the class local structure.The experimental results on ORL and XM2VTS face data-bases show that the performance of local nonparametric discriminant analysis is better than other algorithms. |
| |
| Keywords: | face recognition nonparametric subspace analysis locality preserving projection local Fisher discriminant analysis local nonparametric subspace analysis |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《计算机工程与应用》浏览原始摘要信息 |
|
点击此处可从《计算机工程与应用》下载全文 |
