inria-00545155, version 1
Multiple Camera Calibration using Robust Perspective Factorization
Andrei Zaharescu 1Radu Horaud
a, 1Remi Ronfard a, 2Loic Lefort 1
3D Data Processing, Visualization and Transmission (2006) 504 -511
Résumé : 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.
- a – INRIA
- 1 : PERCEPTION (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- INRIA – Laboratoire Jean Kuntzmann – CNRS : UMR5224 – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG) – Université Pierre Mendès-France - Grenoble II
- 2 : LEAR (INRIA Grenoble Rhône-Alpes / LJK Laboratoire Jean Kuntzmann)
- CNRS : FR71 – CNRS : UMR5527 – INRIA – Laboratoire Jean Kuntzmann – Université Joseph Fourier - Grenoble I – Institut National Polytechnique de Grenoble (INPG)
- Domaine : Informatique/Vision par ordinateur et reconnaissance de formes
- Mots-clés : multi-camera calibration
- inria-00545155, version 1
- http://hal.inria.fr/inria-00545155
- oai:hal.inria.fr:inria-00545155
- Contributeur : Remi Ronfard
- Soumis le : Jeudi 9 Décembre 2010, 16:57:28
- Dernière modification le : Lundi 19 Mars 2012, 09:05:55
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