Mesh resampling alignment for 3D face morphable model

被引:1
作者
Hu, YL [1 ]
Yin, BC [1 ]
Sun, YF [1 ]
机构
[1] Beijing Univ Technol, Multimedia & Intelligent Software Technol Lab, Beijing 100022, Peoples R China
来源
PROCEEDINGS OF THE 2004 INTERNATIONAL SYMPOSIUM ON INTELLIGENT MULTIMEDIA, VIDEO AND SPEECH PROCESSING | 2004年
关键词
D O I
10.1109/ISIMP.2004.1434047
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Based on resampling method, we present a morphable model for 3D face synthesis. The morphable model can reconstruct 3D face automatically from facial image by the combination of aligning prototypic 3D faces. But the point-to-point alignment of 3D dense faces is a challengeable problem. The optical flow algorithm is used to compute the alignment by cylinder projective facial images. But this algorithm is a approximative and unstable method. We propose a mesh resampling method to do the alignment. Based on the resampling alignment a 3D face morpable model is constructed. And from the temporary data of mesh resampling a multi-resolution model is constructed to accelerate the model matching and improve its converging stability. The experimental results show, the resampling alignment is a contributive method for the morphable model in 3D face synthesis.
引用
收藏
页码:250 / 253
页数:4
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