A method of camera calibration by iterative optimization algorithm

Camera calibration is the premise and important step of servo control. In the process of optimization of camera calibration parameters, this paper establishes a nonlinear model including the camera internal parameters, the external parameters and distortion coefficients, each parameter is optimized by iterative steps, it avoids the coupling among all parameters, and the efficiency of calibration is obviously enhanced. It is easier to get pose information from 2D image signal to 3D. the optimization model is established with the minimum re-projection error. Under the Matlab simulation, the result shows that the non-linear model calibration algorithm improves the calibration precision compared with the traditional calibration algorithm. Servoing control of robot visual is more accurately with the proposed method.