3D靶标的摄像机三步标定算法与实现

摄像机标定是计算机视觉中的一个必不可少的重要环节,其标定精度影响着三维重建结果的精度。利用摄像机对一个三维正交的棋盘格拍摄一幅有效靶标图像,提取角点,第一步通过透视变换矩阵算法线性求解各内外参数;第二步引入径向和切向畸变,将第一步求得的内外参数作为初始值,求得畸变系数的解;第三步对内参数进行线性优化,得到更为精确的内参数值;最后求解反投影后图像坐标的绝对误差。实验结果表明,该方法具有较高的精度,且简单有效。

Algorithm and Realization of Three-step Camera Calibration Based on 3D-Target

Camera calibration is an essential part of computer vision.The accuracy of the results of camera calibration affects the accuracy of three-dimensional reconstruction.The method of three-step camera calibration based on 3D-target is only to capture an effective image and then extract corners.The first step,use perspective transformation matrix algorithm to solve the internal and external parameters linearly.The second step,introduct the radial and tangential distortion and apply the achieved internal and ext...