基于深度学习的人脸分析研究进展

Abstract

近年来,基于深度学习的人脸分析取得了巨大的进步,成为计算机视觉领域最为活跃的研究方向之一.为了进一步推动深度学习和人脸分析的研究,结合近年已发表; 的相关文献,对基于深度学习的人脸分析技术进行综述.首先,简要概述深度学习及其发展历史,并分析深度学习有效性原因.然后,按照任务目的的不同,将人脸; 分析分成了人脸检测、人脸关键点检测、人脸识别、人脸属性识别等任务进行详细的介绍和讨论,重点分析各种任务现阶段存在的主要问题.接着,介绍人脸分析中; 常用的人脸数据库.最后,讨论深度学习和人脸分析面临的主要挑战,并给出结论.

In recent years,the face analysis based on deep learning has made great; progress,and has become one of the most active research areas in the; field of computer vision.In order to further promote the study of deep; learning and face analysis,this paper overviews recent advances on the; deep-learning-based face analysis techniques in the literature.First,a; brief overview of deep learning and its history are given and reasons; for the effectiveness of deep learning are also analyzed.Then,according; to different objectives,four face analysis tasks,i.e.,face; detection,facial key-point detection,face recognition,face attribute; recognition,are introduced and discussed in detail,and the key problems; existing in these tasks at present are analyzed.After that,the commonly; used face databases in the face analysis are described.At last,main; challenges of face analysis based deep learning are shown and the; conclusion is presented.