New Research Advances in Facial Expression Recognition
人脸表情识别研究的新进展

As an important part of the technology for human-machine interface,facial expression recognition(FER) have drawn much attention recently and numerous methods have been proposed.In this paper,we present the up to date development of this area in recent years.First,the three steps of the FER system are introduced: face detection,expressional feature extraction and expression classification.Second,the methods of feature extraction and expression classification are detailed in different categories.Then,we also introduce the facial expression databases which are widely used at present.Based on these databases, a comparison of the performances of several FER systems is presented.At last,we demonstrate the state of the FER technique and the possible challenges,and provide some advice about the current of FER development.