We describe an appearance-based object recognition system using a keyed, multi-level contest representation reminiscent of certain aspects of cubist art. Specifically, we utilize distinctive intermediate-level features in this case automatically extracted 2-D boundary fragments, as keys, which are then verified within a local contest, and assembled within a loose global contest to evoke an overall percept. This system demonstrates good recognition of a variety of 3-D shapes, ranging from sports cars and fighter planes to snakes and lizards with full orthographic invariance. We report the results of large-scale tests, involving over 2000 separate test images, that evaluate performance with increasing number of items in the database, in the presence of clutter, background change, and occlusion, and also the results of some generic classification experiments where the system is tested on objects never previously seen or modeled. To our knowledge, the results we report are the best in the literature for full-sphere tests of general shapes with occlusion and clutter resistance.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    A cubist approach to object recognition


    Contributors:
    Nelson, R.C. (author) / Selinger, A. (author)


    Publication date :

    1998-01-01


    Size :

    1245719 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Cubist Approach to Object Recognition

    Nelson, R. C. / Selinger, A. / IEEE; Computer Society | British Library Conference Proceedings | 1998


    Expert's Appraisal of Cubist Paintings

    Hekkert, P. / Van Wieringen, P. C. W. / International Association of Empirical Aesthetics | British Library Conference Proceedings | 1990



    CUBIST: Semantic Business Intelligence Supporting Payload Operations

    Klai, S. / Sevinc, E. / Fontaine, B. et al. | British Library Conference Proceedings | 2012


    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021