DocumentCode :
3246972
Title :
Mesh resampling alignment for 3D face morphable model
Author :
Yongli, Hu ; Baocai, Yin ; Yanfeng, Sun
Author_Institution :
Multimedia & Intelligent Software Technol. Lab., Beijing Univ. of Technol., China
fYear :
2004
fDate :
20-22 Oct. 2004
Firstpage :
250
Lastpage :
253
Abstract :
Based on a resampling method, we present a morphable model for 3D face synthesis. The morphable model can reconstruct a 3D face automatically from a facial image by the combination of aligned prototypic 3D faces. But the point-to-point alignment of 3D dense faces is a challenging problem. The optical flow algorithm is used to compute the alignment by cylinder projective facial images. But this algorithm is an approximative and unstable method. We propose a mesh resampling method to do the alignment. Based on the resampling alignment, a 3D face morphable model is constructed. And from the temporary mesh resampling data a multi-resolution model is constructed to accelerate the model matching and improve its convergence stability. The experimental results show the resampling alignment is a contributive method for the morphable model in 3D face synthesis.
Keywords :
convergence; image matching; image morphing; image reconstruction; image registration; image sampling; mesh generation; 3D face morphable model; 3D face synthesis; aligned prototypic faces combination; convergence stability; cylinder projective facial images; face reconstruction; mesh resampling alignment; model matching acceleration; multiresolution model; optical flow algorithm; point-to-point alignment; Ambient intelligence; Deformable models; Face; Facial animation; Humans; Image motion analysis; Laboratories; Optical computing; Prototypes; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Multimedia, Video and Speech Processing, 2004. Proceedings of 2004 International Symposium on
Print_ISBN :
0-7803-8687-6
Type :
conf
DOI :
10.1109/ISIMP.2004.1434047
Filename :
1434047
Link To Document :
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