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Journal of Zhejiang University SCIENCE C 2011 Vol.12 No.7 P.523-532

http://doi.org/10.1631/jzus.C1000308


Efficient reconstruction of non-simple curves


Author(s):  Yuan-di Zhao, Jun-jie Cao, Zhi-xun Su, Zhi-yang Li

Affiliation(s):  School of Mathematical Sciences, Dalian University of Technology, Dalian 116024, China, State Key Laboratory of Structural Analysis for Industrial Equipment, Department of Engineering Mechanics, Dalian University of Technology, Dalian 116024, China

Corresponding email(s):   jjcao1231@gmail.com

Key Words:  Reverse engineering, Strip-shaped points, Curve reconstruction, Anisotropic adaptive sampling


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Yuan-di Zhao, Jun-jie Cao, Zhi-xun Su, Zhi-yang Li. Efficient reconstruction of non-simple curves[J]. Journal of Zhejiang University Science C, 2011, 12(7): 523-532.

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TY - JOUR
T1 - Efficient reconstruction of non-simple curves
A1 - Yuan-di Zhao
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J0 - Journal of Zhejiang University Science C
VL - 12
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EP - 532
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.C1000308


Abstract: 
We present a novel algorithm to reconstruct curves with self-intersections and multiple parts from unorganized strip-shaped points, which may have different local shape scales and sampling densities. We first extract an initial curve, a graph composed of polylines, to model the different structures of the points. Then a least-squares optimization is used to improve the geometric approximation. The initial curve is extracted in three steps: anisotropic farthest point sampling with an adaptable sphere, graph construction followed by non-linear region identification, and edge refinement. Our algorithm produces faithful results for points sampled from non-simple curves without pre-segmenting them. Experiments on many simulated and real data demonstrate the efficiency of our method, and more faithful curves are reconstructed compared to other existing methods.

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

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