In this paper, we propose a new solution to the stereo correspondence problem by including features an intensity based matching. The features we use are intensity gradients in both the x and y directions of the left and the deformed right images. Although a uniform smoothness constraint is still used, it is nevertheless applied only to non-feature regions. To avoid local minima in function minimization, we propose to parameterize the disparity function by hierarchical Gaussians. A simple stochastic gradient method is used to estimate the Gaussian weights. Experiments with various real stereo images show robust performances.


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    Titel :

    Intensity and feature based stereo matching by disparity parameterization


    Beteiligte:
    Guo-Qing Wei (Autor:in) / Hirzinger, G. (Autor:in)


    Erscheinungsdatum :

    01.01.1998


    Format / Umfang :

    1199369 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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