Visual perception is one of the most important sources of information for both humans and robots. A particular challenge is the acquisition and interpretation of complex unstructured scenes. This work contributes to active vision for humanoid robots. A semantic model of the scene is created, which is extended by successively changing the robot's view in order to explore interaction possibilities of the scene


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    Titel :

    Active Vision for Scene Understanding


    Beteiligte:
    Grotz, Markus (Autor:in)

    Erscheinungsdatum :

    2021


    Format / Umfang :

    1 Online-Ressource (204 p.)



    Medientyp :

    Buch


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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