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Genetic optimized BP network method for camera calibration in binocular vision
2012
Proceedings of the 2012 2nd International Conference on Computer and Information Applications (ICCIA 2012)
unpublished
Camera calibration is the first step of positioning using binocular vision. Owning to the approximation capability of the neural network, a complex mathematical model needed by traditional calibration methods can be avoided. However the general neural network methods have their drawbacks to reduce its accuracy. This paper presents searching algorithm for the best structure and parameters of a neural network using an improved genetic algorithm (GA). The experiments show that this method can be
doi:10.2991/iccia.2012.261
fatcat:xfxzb6f4nvemlhyhougu7n274e