Two new schemes are presented for finding human faces in a photograph. The first scheme approximates the unknown distributions of the face and the face-like manifolds wing higher order statistics (HOS). An HOS-based data clustering algorithm is also proposed. In the second scheme, the face to non-face and non-face to face transitions are learnt using a hidden Markov model (HMM). The HMM parameters are estimated corresponding to a given photograph and the faces are located by examining the optimal state sequence of the HMM. Experimental results are presented on the performance of both the schemes.


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    Titel :

    Finding faces in photographs


    Beteiligte:
    Rajagopalan, A.N. (Autor:in) / Kumar, K.S. (Autor:in) / Karlekar, J. (Autor:in) / Manivasakan, R. (Autor:in) / Patil, M.M. (Autor:in) / Desai, U.B. (Autor:in) / Poonacha, P.G. (Autor:in) / Chaudhuri, S. (Autor:in)


    Erscheinungsdatum :

    01.01.1998


    Format / Umfang :

    1217386 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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