Skip to Main content Skip to Navigation
Conference papers

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.
Document type :
Conference papers
Complete list of metadata
Contributor : Clara Galliano Connect in order to contact the contributor
Submitted on : Wednesday, May 23, 2018 - 10:27:52 AM
Last modification on : Thursday, June 7, 2018 - 4:46:02 PM




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⟩



Record views