首页 | 官方网站   微博 | 高级检索  
     

三维人脸的非均匀重采样对齐算法
引用本文:尹宝才,何晏晏,孙艳丰,梁永涛,张壮.三维人脸的非均匀重采样对齐算法[J].北京工业大学学报,2007,33(2):213-218.
作者姓名:尹宝才  何晏晏  孙艳丰  梁永涛  张壮
作者单位:北京工业大学,计算机学院,多媒体与智能软件技术北京市重点实验室,北京,100022
基金项目:北京市教育委员会科技发展计划资助项目(KM200310005025);;国家自然科学基金资助项目(60375007)
摘    要:为了用尽量少的网格点和面片数表示对齐后的三维人脸,基于分片的网格重采样思想,通过分析每片的曲率高低自动确定各片的网格稠密度,得到非均匀的网格结构,实现了不同三维人脸数据间点到点的一一对齐.实验结果表明:与以往的对齐算法相比,此方法不仅可以大大减少表示人脸的网格点数目,还可以较好地保持人脸的形状和外观特征;使用非均匀重采样做对齐后的三维人脸库建立的人脸模型进行人脸重建,比使用均匀重采样得到的人脸模型在重建速度上有了很大提高.

关 键 词:重采样  人脸分片  稠密对齐  主曲率  平均曲率
文章编号:0254-0037(2007)02-0213-06
修稿时间:11 16 2005 12:00AM

Nonuniform Resampling Based on Method for Pixel-wise Correspondence Between 3D Faces
YIN Bao-cai,HE Yan-yan,SUN Yan-feng,LIANG Yong-tao,ZHANG Zhuang.Nonuniform Resampling Based on Method for Pixel-wise Correspondence Between 3D Faces[J].Journal of Beijing Polytechnic University,2007,33(2):213-218.
Authors:YIN Bao-cai  HE Yan-yan  SUN Yan-feng  LIANG Yong-tao  ZHANG Zhuang
Affiliation:Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology;College of Computer Science and Technology;Beijing University of Technology;Beijing 100022;China
Abstract:In order to get few vetices and 3D faces,patche-based method is used for gridded-resampling, which decides the sampling density automatically over the face patches by analyzing each patch's curvature.The method produces nonuniform mesh and achieves the point-to-point correspondence of different 3D faces.The experimental results show that the method is not only able to reduce the number of mesh vetices of 3D face after resampling,but it can also keep the similarity of geometry and appearance well.And the perfor- mance of the face model constructed by nonuniform resampling is higher than that constructed by uniform resampling.
Keywords:mesh generation  face segmentation  dense correspondence  principal curvature  mean curvature  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号