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CLC number: TP391.41

On-line Access: 2009-11-30

Received: 2009-02-13

Revision Accepted: 2009-06-03

Crosschecked: 2009-09-29

Cited: 3

Clicked: 4435

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2010 Vol.11 No.1 P.27-35

10.1631/jzus.C0910089


Image driven shape deformation using styles


Author(s):  Guang-hua TAN, Wei CHEN, Li-gang LIU

Affiliation(s):  School of Computer and Communication, Hunan University, Changsha 410082, China; more

Corresponding email(s):   ligangliu@zju.edu.cn

Key Words:  Shape depiction, Illustrative visualization, Shape deformation


Guang-hua TAN, Wei CHEN, Li-gang LIU. Image driven shape deformation using styles[J]. Journal of Zhejiang University Science C, 2010, 11(1): 27-35.

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author="Guang-hua TAN, Wei CHEN, Li-gang LIU",
journal="Journal of Zhejiang University Science C",
volume="11",
number="1",
pages="27-35",
year="2010",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C0910089"
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%T Image driven shape deformation using styles
%A Guang-hua TAN
%A Wei CHEN
%A Li-gang LIU
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C0910089

TY - JOUR
T1 - Image driven shape deformation using styles
A1 - Guang-hua TAN
A1 - Wei CHEN
A1 - Li-gang LIU
J0 - Journal of Zhejiang University Science C
VL - 11
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SP - 27
EP - 35
%@ 1869-1951
Y1 - 2010
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C0910089


Abstract: 
In this paper, we propose an image driven shape deformation approach for stylizing a 3D mesh using styles learned from existing 2D illustrations. Our approach models a 2D illustration as a planar mesh and represents the shape styles with four components: the object contour, the context curves, user-specified features and local shape details. After the correspondence between the input model and the 2D illustration is established, shape stylization is formulated as a style-constrained differential mesh editing problem. A distinguishing feature of our approach is that it allows users to directly transfer styles from hand-drawn 2D illustrations with individual perception and cognition, which are difficult to identify and create with 3D modeling and editing approaches. We present a sequence of challenging examples including unrealistic and exaggerated paintings to illustrate the effectiveness of our approach.

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

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