Multi-View Matching Tensors from Lines for General Camera Models

Simone Gasparini 1 Peter Sturm 1
1 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : In this paper we deal with general camera models that allow to describe any kind of camera as a mapping between each pixel and the corresponding projection rays. This work is inspired by [19] and proposes a study of the multi-view geometry of such cameras and a new formulation of multi-view matching tensors working for projection rays crossing the same 3D line. We also delineate a method to estimate such tensors and recover the motion between the views.
Type de document :
Communication dans un congrès
Workshop on Tensors in Image Processing and Computer Vision, Jun 2008, Anchorage, United States. IEEE, pp.1-6, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 〈10.1109/CVPRW.2008.4562969〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00384264
Contributeur : Peter Sturm <>
Soumis le : jeudi 14 mai 2009 - 16:48:43
Dernière modification le : samedi 23 juin 2018 - 15:36:04

Identifiants

Collections

Citation

Simone Gasparini, Peter Sturm. Multi-View Matching Tensors from Lines for General Camera Models. Workshop on Tensors in Image Processing and Computer Vision, Jun 2008, Anchorage, United States. IEEE, pp.1-6, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 〈10.1109/CVPRW.2008.4562969〉. 〈inria-00384264〉

Partager

Métriques

Consultations de la notice

187