基于径向约束的CCD相机标定参数的整体优化

The Integrated Optimization of the CCD Camera Calibration Parameters Based on Radial Alignment Constraint

提出了基于径向约束的CCD相机标定的模型参数非线性整体优化的方法。利用Harris算法检测标定板的各角点图像坐标,保证了标定板角点的稳定性和可靠性;进行RAC(radial alignment constraint)两步法标定,并用Levenberg-Marquardt算法对通过径向约束标定得到的所有相机模型参数进行非线性整体优化,提高了相机参数的标定精度。实验结果表明,该方法标定精度高,能明显减小各种误差对CCD相机标定的影响,提高了机器视觉三维测量的精度。

The nonlinear integrated optimization of the CCD carnera calibration based on radial alignment constraint was introduced. The Harris algorithm was used to detect the calibration plate comer of the image coordinates so as to ensure the stability and reliability of comers of the board; after the RAC two-step calibration , all the camera model parameters based on radial alignment constraint was nonlinearly integrated optimized by the Levenberg-Marquardt algorithm, and the accuracy of the calibration is increased. Experimental results show that this approach has a high accuracy, can significantly reduce every error on the calibration of the CCD camera, and increase the accuracy of three-dimensional measurement with machine vision method.