Researches advanced in face recognition

Face recognition has always been a popular research task in the field of computer vision, which aims to identify the people by analyzing the relationship between the local features of the face (nose, mouth, eyes, etc.), and has been widely used in public security, mobile smart devices, transportation and many other fields. Depending on whether there is external occlusion, face recognition task mainly includes unoccluded face recognition and more challenging occluded face recognition. Through a detailed literature survey and analysis, this paper firstly introduces the representative unoccluded face recognition methods from five perspectives: based on geometric features, based on global features, based on local features, based on FaceNet and based on elastic graph matching. The classical methods and principles of occluded face recognition are further introduced, and the above-mentioned representative face recognition algorithms are quantitatively compared and analyzed. Finally, we discuss the remaining problems and future development directions in the field of face recognition.