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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    Title :

    Incorporating process knowledge into object recognition for assemblies


    Contributors:
    Braun, E. (author) / Fritsch, J. (author) / Sagerer, G. (author)


    Publication date :

    2001-01-01


    Size :

    878279 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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