Correspondences between expressive 3D faces based on radial basis function re-sampling

摘要：

This paper presents a method that can directly establish dense correspondences between 3D faces with arbitrary expressions and identities.We propose a re-sampling algorithm which uses a reference 3D face to re-sample target 3D faces under the guidance of radial basis function (RBF)network.The algorithm not only establishes dense correspondences between 3D faces,but also interpolates the regions in a target 3D face where 3D data are absent for the reason of range data acquisition.We also address the problem of arti .cial effects in mouth region caused by the prime RBF.By examining the essence of RBF,we de .ne a unique distance metric for lips to solve the problem. In addition,the feature point detection procedure is also well designed to alleviate manual interaction.The experimental results show that our method is effective for correspondence computation of 3D face data with even exaggerated expressions.

作者: Ying Zheng Jianglong Chang Zengfu Wang

作者单位: Department of Automation,University of Science and Technology of China

会议类型: 国际会议

会议名称: 2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)

会议地点: 张家界

会议语种:英文

页码: 656-660

在线出版日期: 2008-06-20（万方平台首次上网日期，不代表论文的发表时间）