A Decoupled Calibration Method for Camera Intrinsic Parameters and Distortion Coefficients

Kun Yan, Hong Tian, Enhai Liu, Rujin Zhao, Yuzhen Hong and Dan Zuo

Mathematical Problems in Engineering, 2016, vol. 2016, 1-12

Abstract:

Camera calibration is a necessary process in the field of vision measurement. In this paper, we propose a flexible and high-accuracy method to calibrate a camera. Firstly, we compute the center of radial distortion, which is important to obtain optimal results. Then, based on the radial distortion of the division model, the camera intrinsic parameters and distortion coefficients are solved in a linear way independently. Finally, the intrinsic parameters of the camera are optimized via the Levenberg-Marquardt algorithm. In the proposed method, the distortion coefficients and intrinsic parameters are successfully decoupled; calibration accuracy is further improved through the subsequent optimization process. Moreover, whether it is for relatively small image distortion or distortion larger image, utilizing our method can get a good result. Both simulation and real data experiment demonstrate the robustness and accuracy of the proposed method. Experimental results show that the proposed method can be obtaining a higher accuracy than the classical methods.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:1392832

DOI: 10.1155/2016/1392832

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