Dehua Li

Traditional camera lens calibrations need a 3D physical model with many control points on it, the coordination of these points are measured high precision. These points should be evenly distributed in space for calibration precision, and it is difficult to make the model especially big model. In this paper, a calibration plate was made and the plate was moved in its normal direction, parallel, no rotation, it is implemented to provide large area 3D control points with variable Z values, the images of the plate were made in different places. the moving plate is a 3D model, moreover, it could increase control points significant, the plate is much easier to make than traditional 3D physical model, the plate could be big one, the calibration parameters of camera lens were calculated by different control points group, get the mean value of these parameters. This method is proved high precision, stabilization and robustness. Experiments show such an approach is effective for reconstructing 3D objects in computer vision system.