Facial Expression Feature Extraction And Recognition Algorithm Research Based On Dynamic Image Sequence

Face recognition involves expression of artificial intelligence, pattern classificationand image processing, psychology and so on many domains. It is an important directionabout the study of human interaction. Along with the computer running speedcontinuously improved, people pay more attention on the facial expression recognitionbased on dynamic image sequenceIt is different between the facial expression recognition based on the dynamic imagesequence and the facial expression recognition based on static image. More information isinvolved in the dynamic features. This paper outlined the research contents are as follows:1．In this part, we first studied the tracking theory based on Candide3facial model andaccording to the research we further developed the tracking process. A semi-automaticfacial model initialization method is put forward here. Then based on the semi-automaticfacial model initialization method, an example-based model initialization method isutilized. Last a normalization process is added in the whole tracking process to restrain theeffect of illumination.2．Based on the research of facial tracking which I have mentioned, I put forward adynamic feature extraction method based on six parameters of facial model. Then in orderto enhance the recognition accuracy, we further studied the movement of facial action units during different expression process. According to this research a dynamic featureextraction method based on seven parameters of facial model was developed.3． After the dynamic feature extraction, another important element of facialexpression recognition—classifier design—is considered. Various classifiers are designedhere and an objective judgment of recognition accuracy is stated.4．An unfixed size dynamic feature extraction conception is put forward and explainedand according to the conception I made a preliminary study.