Abstract：The camera calibration method of binocular vision system which can be used in trajectory tracking is based on image analysis and three-dimensional spatial position modeling algorithm of artificial neural network. The calibration plane with uniformly distributed target points was placed in multiple positions within the camera field. The images of calibration plane are captured by the binocular vision system. Afer image processing, the coordinates of the target points are determined. The coordinates of the points are used as input data set of the artificial neural network. Througth optimizing parameters of the artificial neural network, the mapping relationship between the two-dimensional coordinates of the target point and the three-dimensional spatial coordinates is determined. With this versatile method, distortion factors of the binocular vision camera system can be eliminated and three-dimensional position information without complicated proceduring of camera calibration operation. The experiment result demonstrates that the calibration method has good feasibility and robustness.
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2018, Vol. 39 
