Multiple Camera Calibration using Robust Perspective Factorization

Andrei Zaharescu; Radu Horaud; Rémi Ronfard; Loic Lefort

Multiple Camera Calibration using Robust Perspective Factorization

Andrei Zaharescu ¹ Radu Horaud ¹ Rémi Ronfard ² Loic Lefort ¹

1 PERCEPTION - Interpretation and Modelling of Images and Videos

Inria Grenoble - Rhône-Alpes, Institut National Polytechnique de Grenoble (INPG), LJK - Laboratoire Jean Kuntzmann

2 LEAR - Learning and recognition in vision

Inria Grenoble - Rhône-Alpes, Institut National Polytechnique de Grenoble (INPG), LJK - Laboratoire Jean Kuntzmann

Abstract : In this paper we address the problem of recovering structure and motion from a large number of intrinsically calibrated perspective cameras. We describe a method that combines (1) weak-perspective reconstruction in the presence of noisy and missing data and (2) an algorithm that updates weakperspective reconstruction to perspective reconstruction by incrementally estimating the projective depths. The method also solves for the reversal ambiguity associated with affine factorization techniques. The method has been successfully applied to the problem of calibrating the external parameters (position and orientation) of several multiple-camera setups. Results obtained with synthetic and experimental data compare favourably with results obtained with nonlinear minimization such as bundle adjustment.

keyword : multi-camera calibration

Type de document :

Communication dans un congrès

IEEE. 3D Data Processing, Visualization and Transmission, 2006, Chapel Hill, United States. pp.504 -511, 2006

Domaine :

Informatique [cs] / Vision par ordinateur et reconnaissance de formes [cs.CV]

https://hal.inria.fr/inria-00545155
Contributeur : Remi Ronfard <>
Soumis le : jeudi 9 décembre 2010 - 16:57:28
Dernière modification le : mercredi 1 juillet 2015 - 01:00:08

Multiple Camera Calibration using Robust Perspective Factorization

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