High Precision Calibration of Binocular Vision System Based on Genetic Algorithm

Jun Zhou; Li Jun Zou; Jun Chao He; Xiao Pan He

doi:10.4028/www.scientific.net/AMM.427-429.892

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 427-429High Precision Calibration of Binocular Vision...

High Precision Calibration of Binocular Vision System Based on Genetic Algorithm

Abstract:

This paper presents a high precision calibration method based on genetic algorithm (GA) for binocular vision system, involving the problems of the GA optimization and the camera modeling. For the GA optimization, both the binary-code and the real-code are considered. The binary-code makes the feasible solution approach to the optimal solution rapidly, and then the accuracy of GA is further improved by using the real-code. Furthermore, in order to improve the convergence rate of the algorithm, the parameters of the two cameras are calculated separately, and the target function is selected by the forward mapping relationship between the world coordinates and the image coordinates. The experimental results demonstrate the effectiveness of the proposed approach.

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Periodical:

Applied Mechanics and Materials (Volumes 427-429)

Pages:

892-896

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.427-429.892

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Online since:

September 2013

Authors:

Jun Zhou*, Li Jun Zou, Jun Chao He, Xiao Pan He

Keywords:

Binocular Vision, Camera Calibration, Genetic Algorithm (GA), Real-Code

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* - Corresponding Author

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