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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    Title :

    Separation of diffuse and specular reflection in color images


    Contributors:
    Lin, S. (author) / Heung-Yeung Shum, (author)


    Publication date :

    2001-01-01


    Size :

    552230 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    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



    Stereo and Specular Reflection

    Bhat, D. N. / Nayar, S. K. | British Library Online Contents | 1998