Artificial neural network system for 3-D motion perception

This paper proposes an artificial neural network system that estimates the 3-D motion and structure parameters of curved surfaces from measured 2-D optical flow parameters. The system is constructed based on the assumption that the optical flow measurement is available and that the object in the scene can be approximated by patches of curved surfaces.