People move their eyes several times each second, to selectivelyanalyze visual information from specific locations. This is impor-tant, because analyzing the whole scene in foveal detail would re-quire a beachball-sized brain and thousands of additional caloriesper day. As artificial vision becomes more sophisticated, it mayface analogous constraints. Anticipating this, we previously devel-oped a robotic head with biologically realistic oculomotor capabil-ities. Here we present a system for accurately orienting the cam-eras toward a three-dimensional point. The robot’s cameras con-verge when looking at something nearby, so each camera shouldideally centre the same visual feature. At the end of a saccade,we combine priors with cross-correlation of the images from eachcamera to iteratively fine-tune their alignment, and we use the ori-entations to set focus distance. This system allows the robot toaccurately view a visual target with both eyes.


    Access

    Download


    Export, share and cite



    Title :

    Visually guided vergence in a new stereo camera system


    Contributors:

    Publication date :

    2018-12-24


    Remarks:

    Journal of Computational Vision and Imaging Systems; Vol 4 No 1 (2018): Special Issue: Proceedings of CVIS 2018; 3 ; 2562-0444 ; 10.15353/jcvis.v4i1


    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629




    Active Vision for Reliable Ranging: Cooperating Focus, Stereo, and Vergence

    Krotkov, E. / Bajcsy, R. | British Library Online Contents | 1993


    Automatic vergence and focus control of a microstereoscopic camera

    Park, S.-Y. / Moon, J. / Lee, N. | British Library Online Contents | 2009



    STEREO CAMERA SYSTEM

    MATSUO SHIGERU / KITAMURA TADAAKI / NONAKA SHINICHI et al. | European Patent Office | 2017

    Free access