P-IM-01 REMARKS ON MULTI-AIMED CLASSIFICATION SYSTEM OF HUMAN FACE BASED ON EIGENFACE APPROACH

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概要

• 論文の詳細を見る

• This paper proposes four types of classification methods, by combining of two feature extracting approaches (TPCA/KPCA) and two classifiers (k-NN/ANN), to develop the multi-aimed face recognition system. Experimental results using several face databases confirm that the classification method combined with "KPCA+k-NN" is most suitable for the recognition tasks.

• 一般社団法人日本機械学会の論文

著者

• Takahashi Kazuhiko

  Symbiotic Environmental Systems Engineering Graduate School Of Science And Engineering Yamaguchi Uni

• Takahashi Kazuhiko

  Symbiotic Environmental Systems Engineering Graduate School Of Science And Engineering Yamaguchi Uni

• Wang Yong

  Symbiotic Environmental Systems Engineering Graduate School Of Science And Engineering Yamaguchi Uni

関連論文

• P-MB-01 REMARKS ON BIO-POTENTIAL INTERFACE WITH APPLICATION TO CONTROLLING MOBILE ROBOT
• P-IM-01 REMARKS ON MULTI-AIMED CLASSIFICATION SYSTEM OF HUMAN FACE BASED ON EIGENFACE APPROACH

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