影像科学与光化学2012，Vol.30Issue(2)：142-149,8.
基于样本库的人脸图像处理方法
Human Face Super-Resolution Method Based on Train-Database
黎智辉 1彭思龙 2王永强 1许小京1
作者信息
- 1. 公安部物证鉴定中心,北京100038
- 2. 中国科学院自动化研究所,北京100190
- 折叠
摘要
Abstract
In this paper,we propose a human face super-resolution method based on training. This method composes similarity constrains of human face both in global and local manner. The local structure of human face ensures the solution of super-resolution to be in the space characterized by human face local structure. And the local structure in different scales instruct the searching to the optimal solution,then project the reconstructed face by local structure to the eigenface space determined by given human face database. Experiments show that the results have very good accuracy and high visual quality.关键词
图像超分辨率/人脸样本库/局部结构相似性/结构搜索/投影Key words
image super-resolution/human face database/similarity of human face in local structure/structure searching/project分类
信息技术与安全科学引用本文复制引用
黎智辉,彭思龙,王永强,许小京..基于样本库的人脸图像处理方法[J].影像科学与光化学,2012,30(2):142-149,8.
