Methods for space line localization from single catadioptric images: new proposals and comparisons.

Abstract : Line localization from a single image of a central camera is an ill-posed problem unless other constraints or apriori knowledge are exploited. Recently, it has been proved that noncentral catadioptric cameras allow space lines to be localized from a single image. In this paper we propose two novel localization algorithms. The first method exploits a pair of coplanar viewing rays to localize the space line. The second method follows a constrained non-linear minimization procedure using a suitable parametrization to represent space lines. We compare the accuracy of the proposed method w.r.t. the classical line localization algorithm and two robust variants of it. We carried out both synthetic and real experiments and evaluated the performance in localizing a set of space lines. We also propose a quality index for the viewing surfaces associated to space lines in order to better evaluate the quality of the localization. The experimental results showed the effectiveness and the accuracy of both proposed methods.
Type de document :
Communication dans un congrès
Proceedings of the ICCV07 Workshop on Omnidirectional Vision (OMNIVIS 2007), Oct 2007, Rio de Janeiro, Brazil. IEEE Computer Society, pp.1--6, 2007, 〈10.1109/ICCV.2007.4409195〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00590227
Contributeur : Team Perception <>
Soumis le : mardi 3 mai 2011 - 09:46:06
Dernière modification le : samedi 23 juin 2018 - 15:36:03

Identifiants

Citation

Vincenzo Caglioti, Simone Gasparini, Pierluigi Taddei. Methods for space line localization from single catadioptric images: new proposals and comparisons.. Proceedings of the ICCV07 Workshop on Omnidirectional Vision (OMNIVIS 2007), Oct 2007, Rio de Janeiro, Brazil. IEEE Computer Society, pp.1--6, 2007, 〈10.1109/ICCV.2007.4409195〉. 〈inria-00590227〉

Partager

Métriques

Consultations de la notice

20