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Reconstruction of Curve Networks from Unorganized Spatial Points.

Wang, S., Xia, Y., You, L. and Zhang, J., 2020. Reconstruction of Curve Networks from Unorganized Spatial Points. Journal of Universal Computer Science (J.UCS), 26 (9), 1265 - 1280.

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Abstract

Curve network reconstruction from a set of unorganized points is an important problem in reverse engineering and computer graphics. In this paper, we propose an automatic method to extract curve segments and reconstruct curve networks from unorganized spatial points. Our proposed method divides reconstruction of curve networks into two steps: 1) detecting nodes of curve segments and 2) reconstructing curve segments. For detection of nodes of curve segments, we present a principal component analysis-based algorithm to obtain candidate nodes from unorganized spatial points and a Euclidean distance-based iterative algorithm to remove peripheral nodes and find the actual nodes. For reconstruction of curve segments, we propose an extraction algorithm to obtain the points on each of curve segments. We present quite a number of examples which use our proposed method to reconstruct curve networks from unorganized spatial points. The results demonstrate the effectiveness of our proposed method and its advantages of good automation and high reconstruction efficiency.

Item Type:Article
ISSN:0948-695X
Uncontrolled Keywords:curve reconstruction ; curve network ; node detection ; curve extraction
Group:Faculty of Media & Communication
ID Code:35005
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:04 Jan 2021 11:59
Last Modified:27 May 2021 07:57

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