Camera full pose estimation using only a monocular camera model is an important topic in the field of visual servoing. In this paper a simple adaptive method for updating the weights of particle filter is proposed. Using this method, the efficiency of particle filter in estimating the full pose of camera is improved. Results of the proposed method are compared with those of generic particle filter (PF) and EKF under the same condition through an intensive computer simulation.


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    Titel :

    Adaptive particle filter based pose estimation using a monocular camera model


    Beteiligte:
    Goli, M (Autor:in) / Ghanbari, A (Autor:in) / Janabi-Sharifi, F (Autor:in) / Khosroshahi, G K (Autor:in)


    Erscheinungsdatum :

    01.10.2010


    Format / Umfang :

    500244 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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