We present a robust algorithm performing uncalibrated rectification which does not require explicit computation of the epipolar geometry, and specifically of the fundamental matrix. Our algorithm exploits the fact that the fundamental matrix of a pair of rectified images has a particular known form. This allows us to set up a minimization that yields the rectifying homographies directly from image correspondences. Experimental results show that our method works even in the presence of noise, and can cope with inaccurate point correspondences. Robustness in the presence of wrong point correspondences is also addressed in this paper and a two-step outlier detector is described.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    On robust rectification for uncalibrated images


    Contributors:
    Isgro, F. (author) / Trucco, E. (author)


    Publication date :

    1999-01-01


    Size :

    1412035 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    On Robust Rectification for Uncalibrated Images

    Isgro, F. / Trucco, E. / IEEE | British Library Conference Proceedings | 1999


    Quasi-Euclidean epipolar rectification of uncalibrated images

    Fusiello, A. / Irsara, L. | British Library Online Contents | 2011


    Uncalibrated three-view image rectification

    Sun, C. | British Library Online Contents | 2003



    Robust Position Estimation Using Images From an Uncalibrated Camera

    Doehler, H.-U. / IEEE / AIAA | British Library Conference Proceedings | 2003