| 核最近特征分类器及人脸识别应用 |
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| 引用本文： | 贺云辉,赵力,邹采荣.核最近特征分类器及人脸识别应用[J].应用科学学报,2006,24(3):227-231. |
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| 作者姓名： | 贺云辉 赵力 邹采荣 |
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| 作者单位： | 东南大学,无线电工程系,江苏,南京,210096 |
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| 摘 要： | 将最近特征线(NFL)、特征面(NFP)和特征子空间(NFS)分类方法推广为基于核的NFL、NFP和NFS,其优点是可直接对高维的人脸图像样本进行识别,而无需先抽取人脸图像特征,使在训练样本数较多、特征抽取在计算上难以实现的情况下也能直接识别.其中对KNFS得出了两种计算方法,一是KNFP的直接推广,二是利用核主分量分析构造非线性特征子空间.基于ORL和YALE数据库的实验验证了此方法直接识别高维人脸图像的有效性.
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| 关 键 词： | 人脸识别 最近特征分类器 核方法 核主分量分析 |
| 文章编号： | 0255-8297（2006）03-0227-05 |
| 收稿时间： | 2005-02-28 |
| 修稿时间： | 2005-02-282005-05-25 |
Kernel Nearest Features Classifier for Face Recognition |
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| HE Yun-hui,ZHAO Li,ZOU Cai-rong.Kernel Nearest Features Classifier for Face Recognition[J].Journal of Applied Sciences,2006,24(3):227-231. |
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| Authors: | HE Yun-hui ZHAO Li ZOU Cai-rong |
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| Institution: | Department of Radio Engineering, Southeast University, Nanjing 210096, China |
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| Abstract: | Kernel-based nearest feature classifiers are proposed in this paper, which can directly classify original face images and need not extract features beforehand. Besides, two KNFS methods are proposed, one is generalization of KNFP and the other employs KPCA to construct nonlinear feature subspace. Experimental results on ORL and YALE database demonstrate the feasibility of the proposed methods. |
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| Keywords: | face recognition nearest feature classifier kernel method kernel PCA |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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