%0 Journal Article
%T Review of frontal face image synthesis methods<br>正面人脸图像合成方法综述
%A Zhao Lin
%A Gao Xinbo
%A Tian Chunna
%A <br>赵林
%A 高新波
%A 田春娜
%J 中国图象图形学报
%D 2013
%I 
%X With the increasing demand for multi-view face recognition techniques, frontal face image synthesis has been one of the most interesting research topics nowadays. However, it is a classic inverse problem to synthesize frontal images from profiles accurately, and there are some challenges.In this paper,we present a systematical summary of the current frontal image synthesis methods.Furthermore, some classic synthesis strategies are introduced. Moreover,according to the theories used,the methods are classified into two categories:graphic based methods and statistical learning based methods. Additionally, these approaches are compared in three aspects: complicacy, robustness, and performance. At last, some potential pointers towards future research topics are given.
%K face synthesis
%K multi-view
%K inverse problem
%K review<br>人脸合成
%K 多视角
%K 逆问题
%K 综述
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=AE8DAD4245F3E9A92235A8334FDDEB12&yid=FF7AA908D58E97FA&vid=13553B2D12F347E8&iid=CA4FD0336C81A37A&sid=CA4FD0336C81A37A&eid=F3090AE9B60B7ED1&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=0&reference_num=34