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

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 alg...

Full description

Saved in:
Bibliographic Details
Published in2008 International Conference on Information and Automation pp. 656 - 660
Main Authors Ying Zheng, Jianglong Chang, Zengfu Wang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2008
Subjects
Feature extraction
Interpolation
Lips
Manuals
Mouth
Shape
Three dimensional displays
Online AccessGet full text

Cover

More Information
Summary: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 artificial effects in mouth region caused by the prime RBF. By examining the essence of RBF, we define 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.
ISBN:1424421837
9781424421831
DOI:10.1109/ICINFA.2008.4608080