We propose a stereo camera self-adjustment methodology based on a correlation algorithm. We focus on stereo cameras in vision systems for vehicles and Unmanned Aerial Vehicles. We therefore focus onchanges of vergence angle. Our approach uses the following methodology: (1) feature detection using an edge density image, (2) stereo matching to find the lost camera parameters, and (3) a self-adjustment procedure. We have confirmed that a combination of these procedures recovers the camera parameters by using the textured features typical of outdoor environments, even if parameters are lost because of a change of vergence angle.


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    Titel :

    A Stereo Self-Adjustment Methodology for Camera Parameter Restoration in Outdoor Environments


    Beteiligte:


    Erscheinungsdatum :

    2008-12-01


    Format / Umfang :

    2117014 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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