Linear Discriminant Analysis (LDA) is frequently used for dimension reduction and has been successfully utilized in many applications, especially face recognition. In classical LDA, however, the definition of the between-class scatter matrix can cause large overlaps between neighboring classes, because LDA assumes that all classes obey a Gaussian distribution with the same covariance. We therefore, propose an adaptive nonparametric discriminant analysis (ANDA) algorithm that maximizes the distance between neighboring samples belonging to different classes, thus improving the discriminating power of the samples near the classification borders. To evaluate its performance thoroughly, we have compared our ANDA algorithm with traditional PCA+LDA, Orthogonal LDA (OLDA) and nonparametric discriminant analysis (NDA) on the FERET and ORL face databases. Experimental results show that the proposed algorithm outperforms the others.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Adaptive Nonparametric Discriminant Analysis Method and Its Application to Face Recognition


    Beteiligte:
    Yagi, Yasushi (Herausgeber:in) / Kang, Sing Bing (Herausgeber:in) / Kweon, In So (Herausgeber:in) / Zha, Hongbin (Herausgeber:in) / Huang, Liang (Autor:in) / Ma, Yong (Autor:in) / Ijiri, Yoshihisa (Autor:in) / Lao, Shihong (Autor:in) / Kawade, Masato (Autor:in) / Zhao, Yuming (Autor:in)

    Kongress:

    Asian Conference on Computer Vision ; 2007 ; Tokyo, Japan November 18, 2007 - November 22, 2007


    Erschienen in:

    Computer Vision – ACCV 2007 ; Kapitel : 67 ; 680-689


    Erscheinungsdatum :

    2007-01-01


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    SVM-Based Nonparametric Discriminant Analysis, An Application to Face Detection

    Fransens, R. / De Prins, J. / Van Gool, L. et al. | British Library Conference Proceedings | 2003



    A Nonparametric Statistical Comparison of Principal Component and Linear Discriminant Subspaces for Face Recognition

    Beveridge, J. R. / She, K. / Draper, B. A. et al. | British Library Conference Proceedings | 2001


    Nonparametric subspace analysis for face recognition

    Zhifeng Li, / Wei Liu, / Dahua Lin, et al. | IEEE | 2005