Sparse Representation based Recognizing Alive Facial Expressions

Abstract

Dynamic facial expression recognition is subject-specific. It varies from person to person and cannot be estimated with a thresholding technique. In this paper have two main contributions. They are diffeomorphic growth model and distributed cluster wise image registration methodology. In order to improve the robustness of facial expression recognition, a method of face expression recognition based on sparse representation with atlas concept is proposed.