Trabajo presentado a la 11th CCIA celebrada en Sant Martí d'Empúries (Spain) en 2008. ; Active contour modelling is useful to fit non-textured objects, and algorithms have been developed to recover the motion of an object and its uncertainty. Here we show that these algorithms can be used also with point features matched in textured objects, and that active contours and point matches complement in a natural way. In the same manner we also show that depth-from-zoom algorithms, developed for zooming cameras, can be exploited also in the foveal-peripheral eye configuration present in the Armar-III humanoid robot. ; This work was supported by projects: 'Perception, action & cognition through learning of object-action complexes.' (4915), 'CONSOLIDER-INGENIO 2010 Multimodal interaction in pattern recognition and computer vision' (V-00069), 'Grup de recerca consolidat - ROBÒTICA' (8007). ; Peer Reviewed


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    Title :

    Monocular object pose computation with the foveal-peripheral camera of the humanoid robot Armar-III


    Contributors:

    Publication date :

    2008-01-01


    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Classification :

    DDC:    004 / 629



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