Release Time:2019-03-09  Hits:

Indexed by: Journal Article

Date of Publication: 2011-07-01

Journal: JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE C-COMPUTERS & ELECTRONICS

Included Journals: EI、SCIE

Volume: 12

Issue: 7

Page Number: 523-532

ISSN: 1869-1951

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

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.