| 基于二维非参数化判别分析的人脸识别 |
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| 引用本文： | 张旭,曹健,刘玉树. 基于二维非参数化判别分析的人脸识别[J]. 北京理工大学学报, 2009, 29(9): 753-755 |
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| 作者姓名： | 张旭 曹健 刘玉树 |
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| 作者单位： | 北京理工大学,计算机学院,智能信息技术北京市重点实验室,北京,100081;北京理工大学,计算机学院,智能信息技术北京市重点实验室,北京,100081;北京理工大学,计算机学院,智能信息技术北京市重点实验室,北京,100081 |
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| 摘 要： | 基于二维线性判别分析和非参数化判别分析的思想,提出了一种新颖的用于人脸识别的特征提取方法--二维非参数化判别分析方法. 该方法解决了传统判别分析方法中的小样本问题与高斯分布假设问题. 可以准确、高效地实现人脸识别. 通过在ORL标准人脸数据库上的实验结果表明,算法相对于传统线性判别分析方法有显著优势.
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| 关 键 词： | 二维非参数化判别 高斯分布假设 人脸识别 特征提取 |
| 收稿时间： | 2009-05-08 |
Human Face Recognition Based on Two Dimensional Nonparametric Discriminant Analysis |
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| ZHANG Xu,CAO Jian and LIU Yu-shu. Human Face Recognition Based on Two Dimensional Nonparametric Discriminant Analysis[J]. Journal of Beijing Institute of Technology(Natural Science Edition), 2009, 29(9): 753-755 |
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| Authors: | ZHANG Xu CAO Jian LIU Yu-shu |
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| Affiliation: | ZHANG Xu,CAO Jian,LIU Yu-shu(Beijing Laboratory of Intelligent Information Technology,School of Computer Science , Technology,Beijing Institute of Technology,Beijing 100081,China) |
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| Abstract: | A novel method for Human face recognition based on two dimensional nonparametric discriminant analysis is proposed.Traditional LDA-based methods suffer from some disadvan-tages such as small sample size problem(SSS),course of a dimensionality,as well as a fundamental limitation resulting from the parametric nature of scatter matrices,based on the Gaussian distribution assumption.To address the problem,a new two dimensional nonparametric discriminant analysis is proposed and a new formulation of scatter matr... |
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| Keywords: | two dimensional nonparametric discrminant Gaussian distribution face recognition feature extraction |
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