We present a new method for generating large numbers of accurate point correspondences between two wide baseline images. This is important for structure-from-motion algorithms, which rely on many correct matches to reduce error in the derived geometric structure. Given a small initial correspondence set we iteratively expand the set with nearby points exhibiting strong affine correlation, and then we constrain the set to an epipolar geometry using RANSAC. A key point to our algorithm is to allow a high error tolerance in the constraint, allowing the correspondence set to expand into many areas of an image before applying a lower error tolerance constraint. We show that this method successfully expands a small set of initial matches, and we demonstrate it on a variety of image pairs.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Correspondence expansion for wide baseline stereo


    Contributors:
    Steele, K.L. (author) / Egbert, P.K. (author)


    Publication date :

    2005-01-01


    Size :

    926116 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Wide Baseline Stereo Matching

    Pritchett, P. / Zisserman, A. / IEEE; Computer Society | British Library Conference Proceedings | 1998


    Wide baseline object detection stereo system

    KUEHNLE ANDREAS U / MOLIN HANS M / GYORI MARTON et al. | European Patent Office | 2018

    Free access

    WIDE BASELINE OBJECT DETECTION STEREO SYSTEM

    KUEHNLE ANDREAS U / MOLIN HANS M / GYORI MARTON et al. | European Patent Office | 2016

    Free access

    Wide-baseline stereo matching with line segments

    Bay, H. / Ferraris, V. / Van Gool, L. | IEEE | 2005


    Wide-baseline stereo vision for terrain mapping

    Olson, Clark F. / Abi-Rached, Habib | Tema Archive | 2010