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CLC number: TP391.72

On-line Access: 2010-01-10

Received: 2010-04-30

Revision Accepted: 2010-07-07

Crosschecked: 2010-07-30

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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.1 P.36-43

http://doi.org/10.1631/jzus.C1000123


Cartoon capture by key-frame based contour tracking


Author(s):  Chun-luan Zhou, Jun Xiao

Affiliation(s):  Institute of Artificial Intelligence, School of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   chunluanzhou@163.com, junx@cs.zju.edu.cn

Key Words:  Cartoon reuse, Cartoon capture, Key frame, Contour tracking


Chun-luan Zhou, Jun Xiao. Cartoon capture by key-frame based contour tracking[J]. Journal of Zhejiang University Science C, 2011, 12(1): 36-43.

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author="Chun-luan Zhou, Jun Xiao",
journal="Journal of Zhejiang University Science C",
volume="12",
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pages="36-43",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.C1000123"
}

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%T Cartoon capture by key-frame based contour tracking
%A Chun-luan Zhou
%A Jun Xiao
%J Journal of Zhejiang University SCIENCE C
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%P 36-43
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.C1000123

TY - JOUR
T1 - Cartoon capture by key-frame based contour tracking
A1 - Chun-luan Zhou
A1 - Jun Xiao
J0 - Journal of Zhejiang University Science C
VL - 12
IS - 1
SP - 36
EP - 43
%@ 1869-1951
Y1 - 2011
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.C1000123


Abstract: 
Traditional cartoons have been widely used in entertainment, education, and advertisement. Thus, a large amount of cartoon data is available. In this paper, we propose a new technique for capturing the motion of a character in an existing cartoon sequence. This technique tracks the contours of the cartoon character in the sequence, and key frames are used to guide the tracking. We model contour tracking as a space-time optimization problem in which an energy function including both temporal and spatial constraints is defined. First, the user labels the contours of the character on the key frames. Then, the contours on the intermediate frames are tracked by minimizing the energy function. The user may need to interactively adjust the tracking result and restart the optimization process to refine the result. Finally, an edge snapping algorithm is applied to make the tracking result more precise. Experiments show that our technique works effectively.

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

Reference

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