The traditional calibration method is always imprecise, unstable and computed costly because of the nonlinear effect lead by lens distortion. A new camera calibration method of varying effective focal length by neural network model is presented. Both calibration result and 3D measurement result show that the new method achieves more precision and stable result than classical method does.