A Study of Facial Expression Recognition in Real-time Using Optical Flow

Abstract

A method for recognizing facial expressions in which a feature vector is obtained from Fiourier transform coefficients of velocity vector on a face while an expressions is displayed. As the feature vector is computed from the gradient based optical flow algorithm without time-consuming iteration, the method makes a real-time processing possible.