| 一种应用于人脸识别的非线性降维方法 |
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| 引用本文： | 梁淑芬,张志伟,唐红梅,吴涛.一种应用于人脸识别的非线性降维方法[J].电路与系统学报,2009,14(4). |
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| 作者姓名： | 梁淑芬 张志伟 唐红梅 吴涛 |
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| 作者单位： | 1. 五邑大学,信息学院,广东,江门,529020
2. 河北工业大学,信息工程学院,天津,300130 |
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| 基金项目： | 广东省自然科学基金项目，广东省教育厅育苗工程项目，北京大学视觉与听觉信息处理国家重点实验室开放课题基金项目，浙江大学CAD&CG国家重点实验室开放课题基金项目，江门市科技攻关项目 |
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| 摘 要： | 局部线性嵌入算法(locally linear embedding,LLE)作为一种新的非线性维数约减算法,在高维数据可视化方面获得了成功的应用.然而LLE算法获取的特征从分类角度而言并非最优,而且LLE算法难以获取新样本点的低维投影.为解决这两个缺陷,提出了将非线性的LLE算法和线性判别分析算法(linear discriminant analysis,LDA)相结合的一种新的非线性降维方法,通过ORL、Havard和CMU PIE三个人脸库的实验,结果表明,该方法能够大幅度提高识别率,对光照、姿态及表情变化具有一定的鲁棒性.
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| 关 键 词： | 人脸识别 局部线性嵌入 线性判别分析 |
A novel nonlinear dimensionality reduction approach for face recognition |
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| LIANG Shu-fen,ZHANG Zhi-wei,TANG Hong-mei,WU Tao.A novel nonlinear dimensionality reduction approach for face recognition[J].Journal of Circuits and Systems,2009,14(4). |
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| Authors: | LIANG Shu-fen ZHANG Zhi-wei TANG Hong-mei WU Tao |
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| Affiliation: | LIANG Shu-fen1,ZHANG Zhi-wei2,TANG Hong-mei2,WU Tao2(1.School of information,Wuyi University,Jiangmen 529020,China,2.School of Information Engineering,Hebei University of Technology,Tianjin 300130,China) |
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| Abstract: | Locally linear embedding(LLE) is one of the recently proposed manifold learning algorithms for nonlinear dimensionality reduction,which has demonstrated promising results in visualizing high dimensional data.However,the LLE lacks a parametric mapping between the observation and the low-dimensional output,In addition,since it is developed based on minimizing the reconstruction error,it may not be optimal from classification viewpoint.In this paper,we present a novel nonlinear dimensionality reduction approac... |
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| Keywords: | face recognition local linear embedding linear discriminant analysis |
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