摄像机标定参数的再优化方法

In this paper, a re-optimization method based on three-dimensional measurement coordinate was proposed. Generally, the traditional camera calibration techniques iterate with the objective function by minimizing the discrepancy between the detected position and the calculated projection of the 3D object point in pixels of a 2D image point. However, the final goal of vision measurement system is to acquire the accurate space coordinate of the measured point. To solve the mentioned problem, we implemented re-optimization process in camera calibration, whose principle is closer to the measurement error criterion. The experiment results show that the proposed re-optimization approach is quite efficient to improve calibration accuracy and measurement accuracy compared with traditional method, which is also important for practical applications in three-dimensional vision metrology engineering.