We introduce a new shape descriptor, the shape context, for measuring shape similarity and recovering point correspondences. The shape context describes the coarse arrangement of the shape with respect to a point inside or on the boundary of the shape. We use the shape context as a vector-valued attribute in a bipartite graph matching framework. Our proposed method makes use of a relatively small number of sample points selected from the set of detected edges; no special landmarks or keypoints are necessary. Tolerance and/or invariance to common image transformations are available within our framework. Using examples involving both silhouettes and edge images, we demonstrate how the solution to the graph matching problem provides us with correspondences and a dissimilarity score that can be used for object recognition and similarity-based retrieval.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Matching with shape contexts


    Beteiligte:
    Belongie, (Autor:in) / Malik, (Autor:in)


    Erscheinungsdatum :

    2000-01-01


    Format / Umfang :

    265979 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Matching with Shape Contexts

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


    Generative Estimation of 3D Human Pose Using Shape Contexts Matching

    Zhao, Xu / Liu, Yuncai | Springer Verlag | 2007


    Mutual information matching in multiresolution contexts

    Pluim, J. P. / Maintz, J. B. / Viergever, M. A. | British Library Online Contents | 2001


    Shape contexts enable efficient retrieval of similar shapes

    Mori, G. / Belongie, S. / Malik, J. | IEEE | 2001


    Shape Contexts Enable Efficient Retrieval of Similar Shapes

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