In this paper, a new fast method for detecting human faces in color images using the wavelet transform is proposed. The face detection algorithm has three stages, where chrominance, shape and frequency information are used respectively. The algorithm starts at the lower resolution version of the image obtained from the wavelet transform, so that the amount of data to be processed is greatly reduced. Experimental results show that the human face in color images can be detected regardless of orientation.


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    Titel :

    Finding faces in color images using wavelet transform


    Beteiligte:
    Karlekar, J. (Autor:in) / Desai, U.B. (Autor:in)


    Erscheinungsdatum :

    01.01.1999


    Format / Umfang :

    88534 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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