A calibration method for vision sensor system with 3D target

A calibration method for vision sensor system is proposed, this method use checkerboard as the target which is folded out of an angle, and using several point pairs to obtain the optimal matrix, point pairs come from the world and the corresponding pixel image coordinate system, and then camera's all parameters can be obtained by factorizing this matrix. Calibration can be done using only one image by using this method, and doesn't require complex geometric constraints so that it is easy to use computer to do calculation. The experiment results show that compared with the traditional planar target method, this method not only reduces the predictive conditions, but also improves the calibration accuracy and efficiency. The calibration error is greatly reduced, at least 34.62% less than the Tsai method; and the proposed method is used to estimate the points in the world coordinate system, the error is less than 1.5mm.