The authors formulate the segmentation task as a search for a set of descriptions which minimally encodes a scene. A novel framework for cooperative robust estimation is used to estimate descriptions that locally provide the most savings in encoding an image. A modified Hopfield-Tank networks finds the subset of these descriptions which best describes an entire scene, accounting for occlusion and transparent overlap among individual descriptions. Using a part-based 3-D shape model the authors have implemented a system that is able to successfully segment images into their constituent structure.<>


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    Titel :

    Segmentation by minimal description


    Beteiligte:
    Darrell, T. (Autor:in) / Sclaroff, S. (Autor:in) / Pentland, A. (Autor:in)


    Erscheinungsdatum :

    01.01.1990


    Format / Umfang :

    424512 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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