Three-step image rectification

Pascal Monasse 1, 2 Jean-Michel Morel 3 Zhongwei Tang 3
1 IMAGINE [Marne-la-Vallée]
CSTB - Centre Scientifique et Technique du Bâtiment, LIGM - Laboratoire d'Informatique Gaspard-Monge, ENPC - École des Ponts ParisTech
Abstract : Image stereo-rectification is the process by which two images of the same solid scene undergo homographic transforms, so that their corresponding epipolar lines coincide and become parallel to the x-axis of image. A pair of stereo-rectified images is helpful for dense stereo matching algorithms. It restricts the search domain for each match to a line parallel to the x-axis. Due to the redundant degrees of freedom, the solution to stereorectification is not unique and actually can lead to undesirable distortions or be stuck in a local minimum of the distortion function. In this paper a robust geometric stereorectification method by a three-step camera rotation is proposed and mathematically explained. Unlike other methods which reduce the distortion by explicitly minimizing an empirical measure, the intuitive geometric camera rotation angle is minimized at each step. For un-calibrated cameras, this method uses an efficient minimization algorithm by optimizing only one natural parameter, the focal length. This is in contrast with all former methods which optimize between 3 and 6 parameters. Comparative experiments show that the algorithm has an accuracy comparable to the state-of-art, but finds the right minimum in cases where other methods fail, namely when the epipolar lines are far from horizontal.
Type de document :
Communication dans un congrès
BMVC 2010 - British Machine Vision Conference, Aug 2010, Aberystwyth, United Kingdom. BMVA Press, pp.89.1--89.10, 2010, 〈10.5244/C.24.89〉
Liste complète des métadonnées

Littérature citée [17 références]  Voir  Masquer  Télécharger

https://hal-enpc.archives-ouvertes.fr/hal-00654415
Contributeur : Imagine Hal <>
Soumis le : mercredi 21 décembre 2011 - 19:24:38
Dernière modification le : jeudi 5 juillet 2018 - 14:28:57
Document(s) archivé(s) le : lundi 19 novembre 2012 - 10:10:33

Fichier

BMVC10.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Citation

Pascal Monasse, Jean-Michel Morel, Zhongwei Tang. Three-step image rectification. BMVC 2010 - British Machine Vision Conference, Aug 2010, Aberystwyth, United Kingdom. BMVA Press, pp.89.1--89.10, 2010, 〈10.5244/C.24.89〉. 〈hal-00654415〉

Partager

Métriques

Consultations de la notice

632

Téléchargements de fichiers

418