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Author:

Hu, Yongli (Hu, Yongli.) (Scholars:胡永利) | Yin, Baocai (Yin, Baocai.) (Scholars:尹宝才) | Sun, Yanfeng (Sun, Yanfeng.) (Scholars:孙艳丰)

Indexed by:

EI Scopus

Abstract:

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.

Keyword:

Algorithms Mapping Lighting Approximation theory Data reduction Mathematical models Problem solving Three dimensional Face recognition

Author Community:

  • [ 1 ] [Hu, Yongli]Multimedia Intelligent Software T.L., Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Yin, Baocai]Multimedia Intelligent Software T.L., Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Sun, Yanfeng]Multimedia Intelligent Software T.L., Beijing University of Technology, Beijing 100022, China

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Source :

Year: 2004

Page: 250-253

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 9

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