Camera calibration using neural networks

Abstract

This work presents a procedure for camera calibration using artificial neural networks of the type back propagation perceptron. Camera calibration is employed in computer vision for pose determination and it requires a solution of non-linear system of equations. By employing neural network, it becomes unnecessary to know the parameters of the cameras, such as focus, distortions besides the geometry of the system. Camera simulations and real experiments are used to demonstrate and evaluate the procedure.