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

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  • Jiangsu University of Science and Technology (JUST)
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OriginalspracheEnglisch
Aufsatznummer9124254
FachzeitschriftJournal of sensors
Jahrgang2017
PublikationsstatusVeröffentlicht - 13 Juni 2017

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.

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TLS-Based Feature Extraction and 3D Modeling for Arch Structures. / Xu, Xiangyang; Zhao, Xin; Yang, Hao et al.
in: Journal of sensors, Jahrgang 2017, 9124254, 13.06.2017.

Publikation: Beitrag in FachzeitschriftArtikelForschungPeer-Review

Xu X, Zhao X, Yang H, Neumann I. TLS-Based Feature Extraction and 3D Modeling for Arch Structures. Journal of sensors. 2017 Jun 13;2017:9124254. doi: 10.1155/2017/9124254
Xu, Xiangyang ; Zhao, Xin ; Yang, Hao et al. / TLS-Based Feature Extraction and 3D Modeling for Arch Structures. in: Journal of sensors. 2017 ; Jahrgang 2017.
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AU - Neumann, Ingo

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