State-of-the-Art on Video-Based Face Recognition

Recently,video-based face recognition has become one of the hottest topics in the domain of face recognition.How to fully utilize both spatial and temporal information in video to overcome the difficulties existing in the video-based face recognition,such as low resolution of face images in video,large variations of face scale,radical changes of illumination and pose as well as occasionally occlusion of different parts of faces,is the focus.The paper reviews most existing typical methods for video-based face recognition(especially for the last 5 years)and analyses their respective pros and cons.Two commonly used video face databases and some experimental results are given.The prospects for future development and suggestions for further research works are put forward in the end.