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

  • Authors:
  • Jérôme Courchay;Arnak Dalalyan;Renaud Keriven;Peter Sturm

  • Affiliations:
  • IMAGINE, LIGM, Université Paris-Est;IMAGINE, LIGM, Université Paris-Est;IMAGINE, LIGM, Université Paris-Est;Laboratoire Jean Kuntzmann, INRIA Grenoble Rhône-Alpes

  • Venue:
  • ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
  • Year:
  • 2010

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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.