In this paper we present the novel minimal classification method (MCM) that provides an elegant and computationally efficient approach to the problem of multiple face recognition. In the classification we use a special set of filters which yield low values of correlation with a given set of images and large values with other natural images. Such filters are called antifaces. The minimal classification method can efficiently recognize individual images from a large set of 2/sup K/ images using only k filter sets whereas other methods require much more classifiers. We use here antifaces, but the same approach can be implemented with other pattern recognition methods such as SVM or eigenfaces.


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    Titel :

    Fast recognition of multiple faces using MCM


    Beteiligte:


    Erscheinungsdatum :

    01.01.2003


    Format / Umfang :

    459142 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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