一种基于核局部保留投影的人脸识别方法

齐永锋; 火元莲

doi:10.3969/j.issn.0258-2724.2013.06.020

一种基于核局部保留投影的人脸识别方法

doi: 10.3969/j.issn.0258-2724.2013.06.020

齐永锋¹,
火元莲²

基金项目:

国家自然科学基金资助项目（61262056，51175443）

详细信息

作者简介:
齐永锋（1971-），男，副教授，博士，研究方向为模式识别与图像处理，E-mail：qiyf@nwnu.edu.cn

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- 文章访问数: 1057
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出版历程
- 收稿日期: 2012-05-16
- 刊出日期: 2013-12-25

A Face Recognition Method Based on Kernel Locality Preserving Projection

QI Yongfeng¹,
HUO Yuanlian²

摘要

摘要: 为了有效提取人脸的非线性结构信息，提出一种新的基于最大散度差的核判别局部保留投影方法.首先通过核函数将样本数据映射到高维特征空间，计算特征空间中样本的散度矩阵，其次将样本原始空间中的近邻图嵌入到散度矩阵，最后采用最大散度差准则进行特征提取.在PIE与Yale人脸数据库上的实验结果表明，提出的人脸识别方法最高识别率可达到99%.
- 人脸识别 /
- 非线性分析 /
- 最大散度差 /
- 局部保留投影
Abstract: To effectively extract non-linear structure information of face images, a novel method based on maximum scatter difference rule was proposed in this paper. Firstly, the kernel function was used to map original sample data into high dimensional feature space and the scatter matrices were obtained. Secondly, the nearest graphs of original sample data were embedded into scatter matrices; then the maximum scatter difference was used to extract the feature of samples. Experimental results on Pie and Yale face databases demonstrate that the proposed face recognition method is efficient and its top recognition rate can reach 99%.
- face recognition /
- nonlinear analysis /
- maximum scatter difference /
- locality preserving projection

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参考文献(51)

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文章访问数: 1057
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PDF下载量: 420
被引次数: 0

一种基于核局部保留投影的人脸识别方法

doi: 10.3969/j.issn.0258-2724.2013.06.020

作者简介: 齐永锋（1971-），男，副教授，博士，研究方向为模式识别与图像处理，E-mail：qiyf@nwnu.edu.cn

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出版历程

A Face Recognition Method Based on Kernel Locality Preserving Projection

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出版历程

目录

作者简介:
齐永锋（1971-），男，副教授，博士，研究方向为模式识别与图像处理，E-mail：qiyf@nwnu.edu.cn