A genetic algorithm application to stereo calibration

Author

Abellard, Alexandre ; Bouchouicha, Moez ; Ben Khelifa, Mohamed Moncef

Author_Institution

STIC Lab., Toulon- Var Southern Univ., La Garde, France

fYear

2005

fDate

27-30 June 2005

Firstpage

285

Lastpage

290

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.

Keywords

cameras; genetic algorithms; nonlinear control systems; parameter estimation; robust control; search problems; stereo image processing; Levenbergh-Marquardt algorithm; camera calibration; genetic algorithm; global optimization algorithm; non-linear camera; non-linear optimization; parameters estimation; robustness; stereo calibration; Calibration; Cameras; Computational efficiency; Genetic algorithms; Laboratories; Nonlinear distortion; Optimization methods; Reactive power; Robustness; Stereo vision; camera calibration; genetic algorithm; non-linear optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence in Robotics and Automation, 2005. CIRA 2005. Proceedings. 2005 IEEE International Symposium on

Print_ISBN

0-7803-9355-4

Type

conf

DOI

10.1109/CIRA.2005.1554291

Filename

1554291