The presence of specular reflections in images can lead many traditional computer vision algorithms to produce erroneous results. To address this problem, we propose a method based on the neutral interface reflection model for separating the diffuse and specular reflection components in color images. From two photometric images without calibrated lighting, the illuminant chromaticity is estimated, and the RGB intensities of the two reflection components are computed for each pixel using a linear model of surface reflectance. Unlike most previous methods, the presented technique does not assume any dependencies among pixels, such as regionally uniform surface reflectance.


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    Titel :

    Separation of diffuse and specular reflection in color images


    Beteiligte:
    Lin, S. (Autor:in) / Heung-Yeung Shum, (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    552230 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Separation of Diffuse and Specular Reflection in Color Images

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    Generation of Diffuse and Specular Appearance from Photometric Images

    Lin, S. / IEEE Computer Society on Pattern Analysis and Machine Vision | British Library Conference Proceedings | 1999