Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras

Jérôme Courchay 1, 2 Arnak S. Dalalyan 1, 2 Renaud Keriven 1, 2 Peter Sturm 3
1 IMAGINE [Marne-la-Vallée]
LIGM - Laboratoire d'Informatique Gaspard-Monge, CSTB - Centre Scientifique et Technique du Bâtiment, ENPC - École des Ponts ParisTech
3 PERCEPTION - Interpretation and Modelling of Images and Videos
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble
Abstract : A technique for calibrating a network of perspective cameras based on their graph of trifocal tensors is presented. After estimating a set of reliable epipolar geometries, a parameterization of the graph of trifocal tensors is proposed in which each trifocal tensor is encoded by a 4-vector. The strength of this parameterization is that the homographies relating two adjacent trifocal tensors, as well as the projection matrices depend linearly on the parameters. A method for estimating these parameters in a global way benefiting from loops in the graph is developed. Experiments carried out on several real datasets demonstrate the efficiency of the proposed approach in distributing errors over the whole set of cameras.
Type de document :
Communication dans un congrès
Kostas Daniilidis and Petros Maragos and Nikos Paragios. ECCV 2010 - European Conference on Computer Vision, Sep 2010, Heraklion, Greece. Springer, 6312, pp.85-99, 2010, Lecture Notes in Computer Science. 〈10.1007/978-3-642-15552-9_7〉
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https://hal.inria.fr/inria-00523988
Contributeur : Peter Sturm <>
Soumis le : mercredi 6 octobre 2010 - 18:54:55
Dernière modification le : jeudi 5 juillet 2018 - 14:29:05

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Jérôme Courchay, Arnak S. Dalalyan, Renaud Keriven, Peter Sturm. Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras. Kostas Daniilidis and Petros Maragos and Nikos Paragios. ECCV 2010 - European Conference on Computer Vision, Sep 2010, Heraklion, Greece. Springer, 6312, pp.85-99, 2010, Lecture Notes in Computer Science. 〈10.1007/978-3-642-15552-9_7〉. 〈inria-00523988〉

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