【摘要】 由于加工误差和装配误差的存在,摄像机光学系统与理想的小孔透视模型有一定的差别,致使物体点在摄像机平面上实际所成的像与理想成像之间存在不同程度的非线性光学畸变。为了提高图像检测、模式匹配等定量分析的准确性,必须对这一类畸变进行修正。该文以针孔摄像机模型为基础,综合考虑了摄像机的透镜畸变效应,并借助于开放计算机视觉函数库OPENCV,实现了一种基于张正友摄像机标定的改进算法。利用检测得到的角点,获得物体的世界坐标和图像坐标。结果证明该文中的标定算法实现简单,精度高,稳定性好。更多还原

【Abstract】 Because of having processing error and assembling error the difference exists in the model of the camera optical system and pin-hole model,which results to nonlinear distortion between real image and ideal image to some extent. To improve the accuracy of suchquantitative analysis as image measuring and pattern matching,it must be corrected. Based on the pinhole model and considered on thenonlinear distortion,this paper presented a method,which was based on the improving method of Zhang on the platform of OPENCV.On the basis of the detecting corners,the world points and image points can be got. The result proved the method is easy and accurate.更多还原