We aim at using color information to classify the physical nature of edges in video. To achieve physics-based edge classification, we first propose a novel approach to color edge detection by automatic noise-adaptive thresholding derived from sensor noise analysis. Then, we present a taxonomy on color edge types. As a result, a parameter-free edge classifier is obtained by labeling color transitions into one of the following types: (1) shadow-geometry, (2) highlight edges, (3) material edges. The proposed method is empirically verified on images showing complex real world scenes.


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    Title :

    Reflectance-based classification of color edges


    Contributors:
    Gevers, (author)


    Publication date :

    2003-01-01


    Size :

    679722 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Reflectance-Based Classification of Color Edges

    Gevers, T. / IEEE | British Library Conference Proceedings | 2003



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    Object Recognition: Obtaining 2-D Reconstructions from Color Edges

    Bellaire, G. / Koschan, A. / Talmi, K. et al. | British Library Conference Proceedings | 1998