Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds

The preference of three-dimensional representation of underground cable wells from two-dimensional symbols is a developing trend, and three-dimensional (3D) point cloud data is widely used due to its high precision. In this study, we utilize the characteristics of 3D terrestrial lidar point cloud da...

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Main Authors: Ming Huang, Xueyu Wu, Xianglei Liu, Tianhang Meng, Peiyuan Zhu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/9/1452
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spelling doaj-a8d677312f75496aa44a0e5a02cfcac32020-11-25T02:02:36ZengMDPI AGRemote Sensing2072-42922020-05-01121452145210.3390/rs12091452Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point CloudsMing Huang0Xueyu Wu1Xianglei Liu2Tianhang Meng3Peiyuan Zhu4Engineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaEngineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaEngineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaEngineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaEngineering Research Center of Representative Building and Architectural Heritage Database, the Ministry of Education, Key Laboratory for Urban Geomatics of National Administration of Surveying, Mapping and Geoinformation, Beijing University of Civil Engineering and Architecture, Beijing 100044, ChinaThe preference of three-dimensional representation of underground cable wells from two-dimensional symbols is a developing trend, and three-dimensional (3D) point cloud data is widely used due to its high precision. In this study, we utilize the characteristics of 3D terrestrial lidar point cloud data to build a CSG-BRep 3D model of underground cable wells, whose spatial topological relationship is fully considered. In order to simplify the modeling process, first, point cloud simplification is performed; then, the point cloud main axis is extracted by OBB bounding box, and lastly the point cloud orientation correction is realized by quaternion rotation. Furthermore, employing the adaptive method, the top point cloud is extracted, and it is projected for boundary extraction. Thereupon, utilizing the boundary information, we design the 3D cable well model. Finally, the cable well component model is generated by scanning the original point cloud. The experiments demonstrate that, along with the algorithm being fast, the proposed model is effective at displaying the 3D information of the actual cable wells and meets the current production demands.https://www.mdpi.com/2072-4292/12/9/1452point cloud dataCSG-BRep modelspatial topology relationshipcable wellunderground cableself-adaptive boundary extraction
collection DOAJ
language English
format Article
sources DOAJ
author Ming Huang
Xueyu Wu
Xianglei Liu
Tianhang Meng
Peiyuan Zhu
spellingShingle Ming Huang
Xueyu Wu
Xianglei Liu
Tianhang Meng
Peiyuan Zhu
Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds
Remote Sensing
point cloud data
CSG-BRep model
spatial topology relationship
cable well
underground cable
self-adaptive boundary extraction
author_facet Ming Huang
Xueyu Wu
Xianglei Liu
Tianhang Meng
Peiyuan Zhu
author_sort Ming Huang
title Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds
title_short Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds
title_full Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds
title_fullStr Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds
title_full_unstemmed Integration of Constructive Solid Geometry and Boundary Representation (CSG-BRep) for 3D Modeling of Underground Cable Wells from Point Clouds
title_sort integration of constructive solid geometry and boundary representation (csg-brep) for 3d modeling of underground cable wells from point clouds
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-05-01
description The preference of three-dimensional representation of underground cable wells from two-dimensional symbols is a developing trend, and three-dimensional (3D) point cloud data is widely used due to its high precision. In this study, we utilize the characteristics of 3D terrestrial lidar point cloud data to build a CSG-BRep 3D model of underground cable wells, whose spatial topological relationship is fully considered. In order to simplify the modeling process, first, point cloud simplification is performed; then, the point cloud main axis is extracted by OBB bounding box, and lastly the point cloud orientation correction is realized by quaternion rotation. Furthermore, employing the adaptive method, the top point cloud is extracted, and it is projected for boundary extraction. Thereupon, utilizing the boundary information, we design the 3D cable well model. Finally, the cable well component model is generated by scanning the original point cloud. The experiments demonstrate that, along with the algorithm being fast, the proposed model is effective at displaying the 3D information of the actual cable wells and meets the current production demands.
topic point cloud data
CSG-BRep model
spatial topology relationship
cable well
underground cable
self-adaptive boundary extraction
url https://www.mdpi.com/2072-4292/12/9/1452
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