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CLC number: TP391

On-line Access: 2013-07-05

Received: 2012-12-29

Revision Accepted: 2013-05-21

Crosschecked: 2013-06-06

Cited: 1

Clicked: 6623

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE C 2013 Vol.14 No.7 P.551-560


Extracting 3D model feature lines based on conditional random fields

Author(s):  Yao-ye Zhang, Zheng-xing Sun, Kai Liu, Mo-fei Song, Fei-qian Zhang

Affiliation(s):  State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210046, China

Corresponding email(s):   flavor2@163.com, szx@nju.edu.cn

Key Words:  Nonphotorealistic rendering, Model feature lines, Conditional random fields, Feature line metrics, Iterative matching

Yao-ye Zhang, Zheng-xing Sun, Kai Liu, Mo-fei Song, Fei-qian Zhang. Extracting 3D model feature lines based on conditional random fields[J]. Journal of Zhejiang University Science C, 2013, 14(7): 551-560.

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author="Yao-ye Zhang, Zheng-xing Sun, Kai Liu, Mo-fei Song, Fei-qian Zhang",
journal="Journal of Zhejiang University Science C",
publisher="Zhejiang University Press & Springer",

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%T Extracting 3D model feature lines based on conditional random fields
%A Yao-ye Zhang
%A Zheng-xing Sun
%A Kai Liu
%A Mo-fei Song
%A Fei-qian Zhang
%J Journal of Zhejiang University SCIENCE C
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%P 551-560
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.CIDE1308

T1 - Extracting 3D model feature lines based on conditional random fields
A1 - Yao-ye Zhang
A1 - Zheng-xing Sun
A1 - Kai Liu
A1 - Mo-fei Song
A1 - Fei-qian Zhang
J0 - Journal of Zhejiang University Science C
VL - 14
IS - 7
SP - 551
EP - 560
%@ 1869-1951
Y1 - 2013
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.CIDE1308

We propose a 3D model feature line extraction method using templates for guidance. The 3D model is first projected into a depth map, and a set of candidate feature points are extracted. Then, a conditional random fields (CRF) model is established to match the sketch points and the candidate feature points. Using sketch strokes, the candidate feature points can then be connected to obtain the feature lines, and using a CRF-matching model, the 2D image shape similarity features and 3D model geometric features can be effectively integrated. Finally, a relational metric based on shape and topological similarity is proposed to evaluate the matching results, and an iterative matching process is applied to obtain the globally optimized model feature lines. Experimental results showed that the proposed method can extract sound 3D model feature lines which correspond to the initial sketch template.

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


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