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A Genetic Algorithm Application to Stereo Calibration

Abstract : In this paper, we propose a method, which adopts a global optimization algorithm based on a hybrid scheme. It consists of a genetic algorithm (GA) combined with a local search process. In the GA phase, an efficient fitness evaluation procedure based on a non-linear camera model is proposed. The local search step is a non-linear local approach using the Levenbergh-Marquardt algorithm. The experimental results show that the proposed method performs very well in terms of robustness to outliers and quality of camera parameters estimation.
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https://archivesic.ccsd.cnrs.fr/sic_01798083
Contributor : Clara Galliano <>
Submitted on : Wednesday, May 23, 2018 - 10:27:52 AM
Last modification on : Thursday, June 7, 2018 - 4:46:02 PM

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Alexandre Abellard, Moez Bouchouicha, Mohamed Moncef Ben Khelifa. A Genetic Algorithm Application to Stereo Calibration. International Symposium on Computational Intelligence in Robotics and Automation, IEEE, Jun 2005, Espoo, Finland. ⟨10.1109/CIRA.2005.1554291⟩. ⟨sic_01798083⟩

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