In this paper we demonstrate that a recently introduced shape descriptor, the "shape context", can be used to quickly prune a search for similar shapes. Our representation for a shape is a discrete set of n points sampled from its internal and external contours. For each of these points, the shape context is a histogram of the relative positions of the n - 1 remaining points. We present two methods for rapid shape retrieval: one that does comparisons based on a small number of shape contexts and another that uses vector quantization in the space of shape contexts. We verify the discriminative power of these methods with tests on the Columbia (COIL-100) 3D object database and the Snodgrass and Vanderwart line drawings. The shape context-based methods are shown to quickly produce an accurate shortlist of candidates suitable for a more exact matching engine in spite of pose variation and occlusion.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Shape contexts enable efficient retrieval of similar shapes


    Contributors:
    Mori, G. (author) / Belongie, S. (author) / Malik, J. (author)


    Publication date :

    2001-01-01


    Size :

    780552 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Shape Contexts Enable Efficient Retrieval of Similar Shapes

    Mori, G. / Belongie, S. / Malik, J. et al. | British Library Conference Proceedings | 2001


    Decomposition of two-dimensional shapes for efficient retrieval

    Di Ruberto, C. / Cinque, L. | British Library Online Contents | 2009


    Matching with shape contexts

    Belongie, / Malik, | IEEE | 2000


    Matching with Shape Contexts

    Belongie, S. / Malik, J. / IEEE | British Library Conference Proceedings | 2000