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.