Pseudophoto synthesis based on face sketch and its amendment

LI Wei-hong; ZHU Xian-yu; GONG Wei-guo

doi:10.3788/OPE.20142205.1371

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Pseudophoto synthesis based on face sketch and its amendment

更新时间：2020-08-13

- Pseudophoto synthesis based on face sketch and its amendment
- Optics and Precision Engineering Vol. 22, Issue 5, Pages: 1371-1378(2014)
- 作者机构：
  
  重庆大学光电工程学院光电技术及系统教育部重点实验室重庆,400044
- 作者简介：
- 基金信息：
- DOI：10.3788/OPE.20142205.1371
  CLC： TP391.4
- Received：16 August 2013，
  
  Revised：29 September 2013，
  
  Published：25 May 2014
- 稿件说明：
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李伟红, 朱宪宇, 龚卫国. 基于人脸画像的伪照片合成及修正[J]. 光学精密工程, 2014,22(5): 1371-1378

LI Wei-hong, ZHU Xian-yu, GONG Wei-guo. Pseudophoto synthesis based on face sketch and its amendment[J]. Editorial Office of Optics and Precision Engineering, 2014,22(5): 1371-1378
李伟红, 朱宪宇, 龚卫国. 基于人脸画像的伪照片合成及修正[J]. 光学精密工程, 2014,22(5): 1371-1378 DOI： 10.3788/OPE.20142205.1371.

LI Wei-hong, ZHU Xian-yu, GONG Wei-guo. Pseudophoto synthesis based on face sketch and its amendment[J]. Editorial Office of Optics and Precision Engineering, 2014,22(5): 1371-1378 DOI： 10.3788/OPE.20142205.1371.

摘要

提出一种基于人脸画像的伪照片合成及修正方法，该方法包括人脸伪照片的合成、增强以及局部修正3个部分。首先，应用局部本征变换（LET）方法合成人脸伪照片的初始估计。然后，提取人脸画像的边缘和纹理信息对人脸伪照片进行增强以改善合成结果的视觉效果。最后，通过移动最小二乘法对伪照片局部合成错误进行修正。在CUHKstudent人脸画像库上进行了实验，对转换结果与真实人脸照片进行了比较。结果表明：提出的方法可以有效地合成人脸伪照片，对人脸伪照片能够进行有效增强和修正，且在修正局部合成错误的同时能够保证整体相似度不会下降。由于本文的方法只涉及到局部区域的变形，所以不需要依靠神经网络来预测输出结果中控制点的目标位置，从而降低了计算的复杂度。

Abstract

A method was proposed to transform a face sketch into a pseudophoto and to amend the synthesized pseudophoto. It consists of three procedures for the face pseudophoto: synthesizing

enhancement and local amendment. Firstly

the initial face pseudophoto was synthesized by Local Eigentransformation Technique (LET). Then

the edge features and textures of the face sketch were enhanced to improve the visual effect of synthesized pseudophoto. Finally

the local synthesis error of the face pseudophoto was amended by moving least squares algorithm. The experiment was performed on the CUHK face sketch database and the transformation was compared with real photos. Result shows that the method can effectively synthesize and amend the pseudophoto and can guarantee the similarity with sufficient amendment. As the proposed method only involves the deformation of a local region

it is independent on the neural network to predict the target location in control points.So

it has lowered the computing complexity.

关键词

Keywords

references

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JI N, CHAI X J, SHAN SH G, et al..Local regression model for automatic face sketch generation.Sixth International Conference on Image and Graphics, 2011:412-417. 导师简介: 李伟红 (1962-), 女, 四川自贡人, 博士, 副教授, 2006年于重庆大学光电工程学院获得博士学位, 主要从事模式识别、图像处理等方面的研究。E-mail:weihongli@cqu.edu.cn

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