In this paper we present an object recognition framework integrating several recognition paradigms and context information from the scene history to recognize elementary parts contained in assemblies. We use a symbolic approach to detect actions based on the object changes in the scene to monitor the construction process. The information about the elements used to construct a new assembly serves as additional source of information for recognition. Process knowledge is exploited also for selecting the best interpretation out of several alternatives for a single scene which result from contradictions and uncertainties during integration of the different cues.


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    Titel :

    Incorporating process knowledge into object recognition for assemblies


    Beteiligte:
    Braun, E. (Autor:in) / Fritsch, J. (Autor:in) / Sagerer, G. (Autor:in)


    Erscheinungsdatum :

    01.01.2001


    Format / Umfang :

    878279 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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