Abstract : This paper proposes a novel approach of line matching across images captured by different types of cameras, from perspective to omnidirectional ones. Based on the spherical mapping, this method utilizes spherical SIFT point features to boost line matching and searches line correspondences using an affine invariant measure of similarity. It permits to unify the commonest cameras and to process heterogeneous images with the least distortion of visual information.
https://hal.archives-ouvertes.fr/hal-00830884
Contributeur : Cédric Demonceaux <>
Soumis le : lundi 16 septembre 2013 - 21:19:25
Dernière modification le : mercredi 13 septembre 2017 - 01:01:45
Document(s) archivé(s) le : mardi 4 avril 2017 - 17:23:02
Dieu-Sang Ly, Cédric Demonceaux, Ralph Seulin, Yohan Fougerolle. Scale invariant line matching on the sphere. IEEE International Conference on Image Processing, ICIP'2013, Sep 2013, Melbourne, Australia. <hal-00830884>
