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 Contributor : Cédric DemonceauxConnect in order to contact the contributor Submitted on : Monday, September 16, 2013 - 9:19:25 PM Last modification on : Friday, May 20, 2022 - 9:06:04 AM Long-term archiving on: : Tuesday, April 4, 2017 - 5:23:02 PM
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⟩