Research progress of face recognition based on deep learning

Compared with static face recognition, dynamic face recognition has more practical value and research value.However, there are still some difficulties and challenges in dynamic face recognition in video.Dynamic faces obtained under video and unconstrained conditions are subject to complex interference factors such as posture change, expression and side face, which makes it more difficult to recognize them.To solve the above problems, based on the deep learning method, the dynamic face recognition method is further studied.