We examine high accuracy stereo estimation for binocular sequences that where obtained from a mobile platform. The ultimate goal is to improve the range of stereo systems without altering the setup. Based on a well-known variational optical flow model, we introduce a novel stereo model that features a second-order regularization, which both allows sub-pixel accurate solutions and piecewise planar disparity maps. The model incorporates a robust fidelity term to account for adverse illumination conditions that frequently arise in real-world scenes. Using several sequences that were taken from a mobile platform we show the robustness and accuracy of the proposed model.


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    Titel :

    Pushing the limits of stereo using variational stereo estimation


    Beteiligte:
    Ranftl, Rene (Autor:in) / Gehrig, Stefan (Autor:in) / Pock, Thomas (Autor:in) / Bischof, Horst (Autor:in)


    Erscheinungsdatum :

    01.06.2012


    Format / Umfang :

    2015663 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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