This work addresses the real time estimation of on-board stereo head’s position and orientation. Unlike existing works which rely on feature extraction either in the image domain or in 3D space, our approach directly estimates the unknown parameters from the stream of stereo pairs’ brightness. The pose parameters are estimated by registering the right and left images, which is solved using two optimization techniques: the Differential Evolution algorithm and the Levenberg-Marquardt algorithm. We provide experiments and evaluations of performance.


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    Titel :

    Real time on board stereo camera pose through image registration


    Beteiligte:
    Dornaika, Fadi (Autor:in) / Sappa, Angel D. (Autor:in)


    Erscheinungsdatum :

    01.06.2008


    Format / Umfang :

    323435 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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