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Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method

A method is introduced for detecting changes from point clouds that avoids registration. For many applications, changes are detected between two scans of the same scene obtained at different times. Traditionally, these scans are aligned to a common coordinate system having the disadvantage that this...

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Detalles Bibliográficos
Autores principales: Shen, Yueqian, Lindenbergh, Roderik, Wang, Jinhu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298599/
https://www.ncbi.nlm.nih.gov/pubmed/28029121
http://dx.doi.org/10.3390/s17010026
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author Shen, Yueqian
Lindenbergh, Roderik
Wang, Jinhu
author_facet Shen, Yueqian
Lindenbergh, Roderik
Wang, Jinhu
author_sort Shen, Yueqian
collection PubMed
description A method is introduced for detecting changes from point clouds that avoids registration. For many applications, changes are detected between two scans of the same scene obtained at different times. Traditionally, these scans are aligned to a common coordinate system having the disadvantage that this registration step introduces additional errors. In addition, registration requires stable targets or features. To avoid these issues, we propose a change detection method based on so-called baselines. Baselines connect feature points within one scan. To analyze changes, baselines connecting corresponding points in two scans are compared. As feature points either targets or virtual points corresponding to some reconstructable feature in the scene are used. The new method is implemented on two scans sampling a masonry laboratory building before and after seismic testing, that resulted in damages in the order of several centimeters. The centres of the bricks of the laboratory building are automatically extracted to serve as virtual points. Baselines connecting virtual points and/or target points are extracted and compared with respect to a suitable structural coordinate system. Changes detected from the baseline analysis are compared to a traditional cloud to cloud change analysis demonstrating the potential of the new method for structural analysis.
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spelling pubmed-52985992017-02-10 Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method Shen, Yueqian Lindenbergh, Roderik Wang, Jinhu Sensors (Basel) Article A method is introduced for detecting changes from point clouds that avoids registration. For many applications, changes are detected between two scans of the same scene obtained at different times. Traditionally, these scans are aligned to a common coordinate system having the disadvantage that this registration step introduces additional errors. In addition, registration requires stable targets or features. To avoid these issues, we propose a change detection method based on so-called baselines. Baselines connect feature points within one scan. To analyze changes, baselines connecting corresponding points in two scans are compared. As feature points either targets or virtual points corresponding to some reconstructable feature in the scene are used. The new method is implemented on two scans sampling a masonry laboratory building before and after seismic testing, that resulted in damages in the order of several centimeters. The centres of the bricks of the laboratory building are automatically extracted to serve as virtual points. Baselines connecting virtual points and/or target points are extracted and compared with respect to a suitable structural coordinate system. Changes detected from the baseline analysis are compared to a traditional cloud to cloud change analysis demonstrating the potential of the new method for structural analysis. MDPI 2016-12-24 /pmc/articles/PMC5298599/ /pubmed/28029121 http://dx.doi.org/10.3390/s17010026 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Shen, Yueqian
Lindenbergh, Roderik
Wang, Jinhu
Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method
title Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method
title_full Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method
title_fullStr Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method
title_full_unstemmed Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method
title_short Change Analysis in Structural Laser Scanning Point Clouds: The Baseline Method
title_sort change analysis in structural laser scanning point clouds: the baseline method
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5298599/
https://www.ncbi.nlm.nih.gov/pubmed/28029121
http://dx.doi.org/10.3390/s17010026
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