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Journal of Sensors
Volume 2017, Article ID 9124254, 8 pages
https://doi.org/10.1155/2017/9124254
Research Article

TLS-Based Feature Extraction and 3D Modeling for Arch Structures

1Geodetic Institute, Faculty of Civil Engineering and Geodetic Science, Leibniz University Hannover, Hannover, Germany
2Jiangsu University of Science and Technology, Zhenjiang City, Jiangsu Province, China

Correspondence should be addressed to Hao Yang; ed.revonnah-inu.hig@gnay

Received 30 March 2017; Revised 2 May 2017; Accepted 11 May 2017; Published 13 June 2017

Academic Editor: Mosbeh Kaloop

Copyright © 2017 Xiangyang Xu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Terrestrial laser scanning (TLS) technology is one of the most efficient and accurate tools for 3D measurement which can reveal surface-based characteristics of objects with the aid of computer vision and programming. Thus, it plays an increasingly important role in deformation monitoring and analysis. Automatic data extraction and high efficiency and accuracy modeling from scattered point clouds are challenging issues during the TLS data processing. This paper presents a data extraction method considering the partial and statistical distribution of the point clouds scanned, called the window-neighborhood method. Based on the point clouds extracted, 3D modeling of the boundary of an arched structure was carried out. The ideal modeling strategy should be fast, accurate, and less complex regarding its application to large amounts of data. The paper discusses the accuracy of fittings in four cases between whole curve, segmentation, polynomial, and B-spline. A similar number of parameters was set for polynomial and B-spline because the number of unknown parameters is essential for the accuracy of the fittings. The uncertainties of the scanned raw point clouds and the modeling are discussed. This process is considered a prerequisite step for 3D deformation analysis with TLS.