为了对计算机视觉系统进行标定，并削弱由系统模型与真实系统间差异所产生的误差，在详细分析计算机数字成象过程的基础上，提出了一种综合数字成象过程中内部的及外部的，已知的及未知的等各种因素的图象系统标定方法，其标定的具体对象包括光学成象过程中的线性几何投影参数及非线性畸变参数、光电转换过程中的参数和图象信号的D/A及A/D转换过程中的参数等；同时提出了基于该标定方法的三维计算机视觉系统采集三维数据的误差补偿方法及其参数的确定过程。上述方法已经成功地应用于三维计算机视觉系统，并取得了很好的三维精度。

Based on analysis for computer digital imaging processing, a technique described, for calibrating the digital imaging system and reducing the error created by the difference between the system model and true system. In our calibration all kind of factors involved in the processing are considered, including intrinsic factors and extrinsic factors, known factors and unknown factors. In the calibration list there are the linear geometric project parameters and nonlinear distortion parameters of the optical imaging processing, the parameters of the optics-electric transfer processing, the parameters of the image signal D/A and A/D transfer, etc. An effective method of error compensation for 3D data accompanied by calibration processing is also proposed in this paper. The error compensation model and its parameters are created in the calibration processing and applied in the 3D computer vision processing. Both above techniques have been used in 3D computer vision system and achieved high accuracy of 3D data.