Industrial Technology Advances
Hitoshi Imaoka, NEC Corporation, Japan, h-imaoka_cb@nec.com , Hiroshi Hashimoto, NEC Corporation, Japan, Koichi Takahashi, NEC Corporation, Japan, Akinori F. Ebihara, NEC Corporation, Japan, Jianquan Liu, NEC Corporation, Japan, Akihiro Hayasaka, NEC Corporation, Japan, Yusuke Morishita, NEC Corporation, Japan, Kazuyuki Sakurai, NEC Corporation, JapanThis is published under the terms of the Creative Commons Attribution licence.
Downloaded: 3082 times
Biometric recognition technologies have become more important in the modern society due to their convenience with the recent informatization and the dissemination of network services. Among such technologies, face recognition is one of the most convenient and practical because it enables authentication from a distance without requiring any authentication operations manually. As far as we know, face recognition is susceptible to the changes in the appearance of faces due to aging, the surrounding lighting, and posture. There were a number of technical challenges that need to be resolved. Recently, remarkable progress has been made thanks to the advent of deep learning methods. In this position paper, we provide an overview of face recognition technology and introduce its related applications, including face presentation attack detection, gaze estimation, person re-identification and image data mining. We also discuss the research challenges that still need to be addressed and resolved.