基于相位检测的双平面摄像机标定

针对平面目标的单目视觉标定过程复杂、标定精度不高的问题,研究一种双平面摄像机标定方法。结合两标定平面载波条纹的相位分布确定物点与像点间的对应关系,采用均方误差和最小原理对光心的位置坐标进行估计。在双平面摄像机模型的基础上建立虚拟摄像机模型,获取传感器成像面与虚拟成像面间的坐标映射关系,采用灰度级插值算法实现原图像的畸变校正。实验与标定结果表明,该方法的标定精度较高。

Dual-plane camera calibration based on phase detection

A dual-plane camera calibration method was studied for the problem that the monocular visual calibration process for planar targets is complex and the calibration accuracy is not high.The phase distributions of two calibration plane carrier stripes were combined to determine the correspondence between object points and image points,and the position coordinates of the optical center were estimated using the mean square error and the minimum principle.A virtual camera model was built on the basis of the dual-plane camera model,the coordinate mapping relationship between the sensor imaging surface and the virtual imaging surface was obtained,and the gray level interpolation algorithm was used to realize the distortion correction of the original image.Experimental and calibration results show that the calibration accuracy of the proposed method is relatively high.