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Received: 2004-08-12

Revision Accepted: 2004-11-01

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Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.5 P.460~468

http://doi.org/10.1631/jzus.2005.A0460


Smooth feature line detection for meshes


Author(s):  GUO Yan-wen, PENG Qun-sheng, HU Guo-fei, WANG Jin

Affiliation(s):  State Key Laboratory of CAD & CG, Department of Mathematics, Zhejiang University, Hangzhou 310027, China

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

Key Words:  Feature line, Image snakes, Mesh parameterization, Mesh decomposition


GUO Yan-wen, PENG Qun-sheng, HU Guo-fei, WANG Jin. Smooth feature line detection for meshes[J]. Journal of Zhejiang University Science A, 2005, 6(5): 460~468.

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author="GUO Yan-wen, PENG Qun-sheng, HU Guo-fei, WANG Jin",
journal="Journal of Zhejiang University Science A",
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pages="460~468",
year="2005",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2005.A0460"
}

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%A WANG Jin
%J Journal of Zhejiang University SCIENCE A
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%N 5
%P 460~468
%@ 1673-565X
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2005.A0460

TY - JOUR
T1 - Smooth feature line detection for meshes
A1 - GUO Yan-wen
A1 - PENG Qun-sheng
A1 - HU Guo-fei
A1 - WANG Jin
J0 - Journal of Zhejiang University Science A
VL - 6
IS - 5
SP - 460
EP - 468
%@ 1673-565X
Y1 - 2005
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2005.A0460


Abstract: 
In this paper the authors present a novel semi-automatic feature line detection technique for meshes. Taking into account the distance and orientation between two vertices on meshes and the curvature information of vertices, they first find an initial feature line which connects some user-specified vertices on meshes; then parameterize the “feature strip” surrounding the feature line onto a planar domain using a vertex flattening technique; and refine the flattened feature strip using the 2D snakes approach to make the feature line smoother and more accurate; lastly they get the feature line by mapping the refined line back to the original meshes. Experimental results showed that their method can extract the feature line rapidly and precisely. As an application, they propose a mesh decomposition method based on the detected feature line.

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

Reference

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[13] Page, D. L., Sun, Y., Koschan, A., Paik, J., Abidi, M., 2002. Normal vector voting, crease detection and curvature estimation on large, noisy meshes. Journal of Graphical Models, 64:1-31.

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