Most of the recent color recognition/indexing approaches concentrate on establishing invariance to illumination color to improve the utility of color recognition. However, other effects caused by illumination pose and specularity on three-dimensional object surfaces have not received notable attention. We present a chromaticity recognition method that discounts the effects of illumination pose, illumination color and specularity. It utilizes a chromaticity space based on log-ratio of sensor responses for illumination pose and color invariance. A model-based specularity detection/rejection algorithm can be used to improve the chromaticity recognition and illumination estimation for objects including specular reflections.


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    Titel :

    A chromaticity space for specularity, illumination color- and illumination pose-invariant 3-D object recognition


    Beteiligte:
    Berwick, D. (Autor:in) / Sang Wook Lee (Autor:in)


    Erscheinungsdatum :

    01.01.1998


    Format / Umfang :

    691290 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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