In the 3D facial expression transfer field, aiming at two hot problems of preserving rich detailed information target model to make generated new expressions realistic and natural, reducing training time, this paper presents a features-preserving method. Firstly, features are extracted from face models obtain basic without details. Then, source is transferred with improved paramet...