We explore a novel application of facial asymmetry: expression classification. Using 2D facial expression images, we show the effectiveness of automatically selected local facial asymmetry for expression recognition. Quantitative evaluations of expression classification using local asymmetry demonstrate statistically significant improvements over expression classification results on the same data set without explicit representation of facial asymmetry. A comparison of discriminative local facial asymmetry features for expression classification versus human identification is given.


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    Titel :

    Local facial asymmetry for expression classification


    Beteiligte:
    Mitra, S. (Autor:in) / Yanxi Liu, (Autor:in)


    Erscheinungsdatum :

    2004-01-01


    Format / Umfang :

    553674 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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