A fast stereo algorithm based on aliasing effects of simple disparity estimators within a coherence detection scheme is presented. The algorithm calculates dense disparity maps with subpixel-precision by performing local spatial filter operations and simple arithmetic transformations. Performance similar to classical area-based approaches is achieved, but without the complicated hierarchical search structure typical for these approaches. The algorithm is completely parallel; the disparity valves are calculated independently for each pixel. In addition, local validation counts for the disparity estimates and a fused cyclopean view of the scene are available within the proposed network structure for coherence-based stereo.


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    Titel :

    Fast stereovision with subpixel-precision


    Beteiligte:
    Henkel, R.D. (Autor:in)


    Erscheinungsdatum :

    01.01.1998


    Format / Umfang :

    774869 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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