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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    Title :

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


    Contributors:
    Berwick, D. (author) / Sang Wook Lee (author)


    Publication date :

    1998-01-01


    Size :

    691290 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Chromaticity Space for Specularity-, Illumination Color- and Illumination Pose-Invariant 3-D Object Recognition

    Berwick, D. / Sang Wook Lee / IEEE; Computer Society | British Library Conference Proceedings | 1998



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