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基于核的Foley-Sammon鉴别分析与人脸识别 被引量：10

Kernel-Based Foley-Sammon Discriminant Analysis and Face Recognition
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摘要 通过建立基于核的Foley Sammon鉴别分析 (KFSDA)的两个等价模型 ,并分析这两个等价模型的解之间的关系 ,从理论上给出KFSDA模型的具体求解方法 分析表明 ,基于核的Foley Sammon鉴别分析保留了FSDA能明显降低样本特征之间冗余信息的优点 ,更重要的是该方法能够有效地抽取样本的非线性特征 ,是对FSDA的进一步拓展 Through implementing two equivalent models of kernel based Foley Sammon discriminant analysis (KFSDA) and studying the relationship between the solutions of these two models, a new approach of solving the KFSDA model is presented and proved Analysis shows that KFSDA retains FSDA's advantage of distinctly reducing the redundant information among components of the pattern samples, and more importantly, it can extract nonlinear features effectively, thus greatly enhancing the capability of FSDA Experimental results on ORL face database indicate that the proposed method is valid
作者 高秀梅 杨静宇 金忠 陈才扣
机构地区 南京理工大学计算机科学与技术系
出处 《计算机辅助设计与图形学学报》 EI CSCD 北大核心 2004年第7期962-967,共6页 Journal of Computer-Aided Design & Computer Graphics
基金 国家自然科学基金 ( 60 0 72 0 3 4)资助
关键词 基于核的F-S鉴别分析 最佳鉴别矢量集 特征抽取 人脸识别 kernel based Foley Sammon discriminant analysis optimal discriminant vectors feature extraction face recognition
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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参考文献13

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共引文献28

同被引文献117

  • 1高秀梅,杨静宇,杨健.一种最优的核Fisher鉴别分析与人脸识别[J].系统仿真学报,2004,16(12):2864-2868. 被引量：13
  • 2贺云辉,赵力,邹采荣.基于核鉴别共同矢量的小样本脸像鉴别方法[J].电子与信息学报,2006,28(12):2296-2300. 被引量：1
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  • 4Chen L F, Liao H Y M, Ko M T, etal. A new LDA-based face recognition system which can solve the small sample size problem [J]. Pattern Recognition, 2000, 33(10): 1713-1726.
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  • 10Yang J, Jin Z, Yang J Y, et al. Essence of kernel Fisher discriminant: KPCA plus LDA [J]. Pattern Recognition, 2004, 37(10):2097-2100.

引证文献10

二级引证文献28

计算机辅助设计与图形学学报
2004年 第7期

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