为得到拍摄获取的2D图像信息与其对应3D空间物体信息之间准确的对应关系, 减小因CCD相机镜头畸变对图像的影响, 该文建立了正确的数学校正模型, 采用基于MATLAB的Camera Calibration Toolbox工具箱对相机进行标定, 得到由相机内部参数和外部参数组成的投影矩阵, 从而完成对畸变图像进行校正处理。在标定与求解过程中, 对每一步骤中的操作进行详细说明与分析, 不断优化数据结果, 同时调用空间立体图像模型, 使实验数据表现更直观。利用得到的实验数据对由同一相机拍摄的图像进行校正验证, 实验结果表明畸变图像得到了很好的还原。整体来说该方法简单、快速、直观并准确, 实用性很强。

In order to obtain an accurate correlation between the 2D image information obtained by filming and the information of its corresponding 3D object, and to reduce the effect that the distortion of CCD camera lens has on the image, a correct mathematical model is set up. Based on the MATLAB camera calibration toolbox, the projection matrix consisting of the cameras internal and external parameters is obtained. Thus, the correction process of the distorted image is completed. In the process of calibration and solving, detailed description and analysis of each step in operation is given, the data results are constantly optimized, and by simultaneously calling the space stereo image model, the experimental data is more directly presented. The verification of the correction of the image captured by the same camera, using experimental data, is made. The experimental results indicate that the distorted image has been effectively restored. Overall, the proposed method is simple, time-efficient, direct, accurate and of significant utility.