We introduce two appearance-based methods for clustering a set of images of 3D (three-dimensional) objects, acquired under varying illumination conditions, into disjoint subsets corresponding to individual objects. The first algorithm is based on the concept of illumination cones. According to the theory, the clustering problem is equivalent to finding convex polyhedral cones in the high-dimensional image space. To efficiently determine the conic structures hidden in the image data, we introduce the concept of conic affinity, which measures the likelihood of a pair of images belonging to the same underlying polyhedral cone. For the second method, we introduce another affinity measure based on image gradient comparisons. The algorithm operates directly on the image gradients by comparing the magnitudes and orientations of the image gradient at each pixel. Both methods have clear geometric motivations, and they operate directly on the images without the need for feature extraction or computation of pixel statistics. We demonstrate experimentally that both algorithms are surprisingly effective in clustering images acquired under varying illumination conditions with two large, well-known image data sets.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Clustering appearances of objects under varying illumination conditions


    Contributors:
    Ho, J. (author) / Ming-Husang Yang, (author) / Jongwoo Lim, (author) / Kuang-Chih Lee, (author) / Kriegman, D. (author)


    Publication date :

    2003-01-01


    Size :

    1741944 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Clustering Appearances of Objects under Varying Illumination Conditions

    Ho, J. / Yang, M.-H. / Lim, J. et al. | British Library Conference Proceedings | 2003


    Learning Low Dimensional Invariant Signature of 3-D Object under Varying View and Illumination from 2-D Appearances

    Li, S. / Yan, J. / Hou, X. et al. | British Library Conference Proceedings | 2001



    Color Constancy under Varying Illumination

    Finlayson, G. / Funt, B. / Barnard, K. et al. | British Library Conference Proceedings | 1995


    Efficient detection under varying illumination conditions and image plane rotations

    Osadchy, M. / Keren, D. | British Library Online Contents | 2004