Review of frontal face image synthesis methods
正面人脸图像合成方法综述

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.