The ability to classify age from a facial image has not been pursued in computer vision. This research addresses the limited task of age classification of a facial image into a baby, young adult, and senior adult. This is the first reported work to classify age, and to successfully extract and use natural wrinkles. We present a theory and practical computations for visual age classification from facial images, based on cranio-facial changes in feature-position ratios, and on skin wrinkle analysis. Three age groups are classified.<>


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    Titel :

    Age classification from facial images


    Beteiligte:
    Young Ho Kwon (Autor:in) / da Vitoria Lobo (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    846418 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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