@inproceedings{7df533c0420c4eb49b8b74c62f7aff81,
title = "Exploiting loops in the graph of trifocal tensors for calibrating a network of cameras",
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.",
author = "J{\'e}r{\^o}me Courchay and Arnak Dalalyan and Renaud Keriven and Peter Sturm",
year = "2010",
month = jan,
day = "1",
doi = "10.1007/978-3-642-15552-9\_7",
language = "English",
isbn = "3642155510",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 2",
pages = "85--99",
booktitle = "Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings",
edition = "PART 2",
note = "11th European Conference on Computer Vision, ECCV 2010 ; Conference date: 10-09-2010 Through 11-09-2010",
}