Sparse Representation based Recognizing Alive Facial Expressions
Keywords:
LDDMM registration algorithm, Sparse group wise image registration, Atlas construction, Optimizer, Face recognition, Face expression analysis, Behaviour patternsAbstract
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
