立体视觉测量中摄像机标定的新技术

A New Camera Calibration Technique for 3D Machine Vision Metrology

本文实现并改进了一种利用径向排列约束（ＲＡＣ）的摄像机标定算法，并利用该算法标定了安装在ＺＥＩＳＳＣＭＭ坐标测量机伺服机构上的ＣＣＤ摄像机的内部和外部参数．算法巧妙地利用了成像过程中的ＲＡＣ分解摄像机参数，提出了带有一阶径向畸变的摄像机模型，利用合理组织的求解次序使得每一步参数的求解都只须求解线性方程组，从而彻底改变了以往摄像机标定依赖于非线性优化方法．这种改进使得ＲＡＣ方法较以往的算法更为精确、快速、简便．

A new camera calibration technique for 3D machine vision with the radial alignment constraint (RAC) is described.This method seperates camera parameters by using RAC,gives a new camera model with one term radial lens distortion,and provides the solution through a linear algorithm according to the reasonable order instead of traditional nonlinear optimization,so it shows high accuracy and simplicity.The technique has successfully been applied to calibrate the CCD camera fixed on ZEISS CMM.