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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.7 P.1193-1200


Adaptive sampling for mesh spectrum editing

Author(s):  ZHAO Xiang-jun, ZHANG Hong-xin, BAO Hu-jun

Affiliation(s):  State Key Lab of CAD & CG, Zhejiang University, Hangzhou 310027, China; more

Corresponding email(s):   zhx@cad.zju.edu.cn

Key Words:  Mesh editing, Adaptive sampling, Digital geometry processing

ZHAO Xiang-jun, ZHANG Hong-xin, BAO Hu-jun. Adaptive sampling for mesh spectrum editing[J]. Journal of Zhejiang University Science A, 2006, 7(7): 1193-1200.

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journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

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%A ZHANG Hong-xin
%A BAO Hu-jun
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T1 - Adaptive sampling for mesh spectrum editing
A1 - ZHAO Xiang-jun
A1 - ZHANG Hong-xin
A1 - BAO Hu-jun
J0 - Journal of Zhejiang University Science A
VL - 7
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SP - 1193
EP - 1200
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A1193

A mesh editing framework is presented in this paper, which integrates Free-Form Deformation (FFD) and geometry signal processing. By using simplified model from original mesh, the editing task can be accomplished with a few operations. We take the deformation of the proxy and the position coordinates of the mesh models as geometry signal. Wavelet analysis is employed to separate local detail information gracefully. The crucial innovation of this paper is a new adaptive regular sampling approach for our signal analysis based editing framework. In our approach, an original mesh is resampled and then refined iteratively which reflects optimization of our proposed spectrum preserving energy. As an extension of our spectrum editing scheme, the editing principle is applied to geometry details transferring, which brings satisfying results.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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