Abstract: On the basis of the analysis of the imaging vision processing in a two camera 3D vision system, an imaging model including lens' distortion parameters is setup. The derivation for solving imaging model parameters and the realization for calibrating are described. A novel technique of parameters optimizing parameters rapidly for calibration in the two camera system is also proposed. Experimental results show that our approach can effectively increase the precision of both cameras' imaging models and the precision of the 3D data captured by the two-camera vision system. Experimental results also show that the optimizing processing converges rapidly.

Key words: camera lens calibration, 3D vision, iterative optimizing, 3D image