Presentado al 6th RoMoCo celebrado en 2007 en Polonia. ; We previously proposed a method to estimate robot egomotion from the deformation of a contour in the images acquired by a robot-mounted camera [2, 1]. The fact that the contour should always be viewed under weak-perspective conditions limits the applicability of the method. In this paper, we overcome this limitation by controlling the zoom so as to compensate for robot translation along the optic axis. Our control entails minimizing an error signal derived directly from image measurements, without requiring any 3D information. Moreover, contrarily to other 2D control approaches, no point correspondences are needed, since a parametric measure of contour deformation suffices. As a further advantage, the error signal is obtained as a byproduct of egomotion estimation and, therefore, it does not introduce any burden in the computation. Experimental results validate this zooming extension to the method. Moreover, robot translations are correctly computed, including those along the optic axis. ; This work was supported by the project 'Perception, action & cognition through learning of object-action complexes.' (4915). ; This work is partially funded by the EU PACO-PLUS project FP6-2004-IST-4-27657. ; Peer Reviewed


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    Titel :

    Zoom control to compensate camera translation within a robot egomotion estimation approach


    Beteiligte:

    Erscheinungsdatum :

    2007-01-01



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Schlagwörter :

    Klassifikation :

    DDC:    629



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