Research Area: Machine Learning
Deep learning, in particular the deep convolutional neural networks, has received increasing interests in face recognition recently, and a number of deep learning methods have been proposed. This paper summarizes about 330 contributions in this area. It reviews major deep learning concepts pertinent to face image analysis and face recognition, and provides a concise overview of studies on specific face recognition problems, such as handling variations in pose, age, illumination, expression, and heterogeneous face matching. A summary of databases used for deep face recognition is given as well. Finally, some open challenges and directions are discussed for future research.
Keywords:
Author(s) Name: Guodong Guo, Na Zhang
Journal name: Computer Vision and Image Understanding
Conferrence name:
Publisher name: Elsevier
DOI: 10.1016/j.cviu.2019.102805
Volume Information: Volume 189, December 2019, 102805
