影像科学与光化学2017，Vol.35Issue(2)：131-139,9.DOI:10.7517/j.issn.1674-0475.2017.02.131
三维人脸识别算法研究
Research on 3D Face Recognition Methods
摘要
Abstract
The 3D image-based face recognition technology has made great progress in recent years,with good performance achieved under some constrained conditions.However,the technology is still limited by some factors such as facial pose and expression.To solve this kind of impact,the recognition methods must be improved.This paper shares the development status of 3D image face recognition by discussing a series of face matching methods and fuse-improve methods.And separately through three angles:spatial matching methods,local feature based methods and global feature based methods,to state some improvement of 3D face recognition methods.Besides,some experimental results of improved methods are listed and the reasons about effectiveness of the methods are analyzed.Finally,the paper summarizes some challenges which hinder the improvement of 3D face recognition methods,and explore the future research trend.关键词
三维人脸识别/特征匹配/识别算法Key words
3D face recognition/feature matching/recognition method引用本文复制引用
胡敏,文永富..三维人脸识别算法研究[J].影像科学与光化学,2017,35(2):131-139,9.基金项目
教育部重点实验室2016开放基金项目(2016OEIOF05)和深圳市科技创新项目资助 （2016OEIOF05）
