3D Reconstruction and Intelligent Digital Conservation of Ancient Buildings Based on Laser Point Cloud Data

With the wide application of computer technology, how to carry out digital modeling and virtual simulation for the protection of ancient buildings has become a new research field. The combination of LiDAR (LiDAR) point cloud data can significantly improve the performance of 3D spatial information ex...

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Vydáno v:Journal of Electrical and Computer Engineering Ročník 2022; s. 1 - 10
Hlavní autor: Qiu, Yahui
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Hindawi 27.05.2022
John Wiley & Sons, Inc
Wiley
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ISSN:2090-0147, 2090-0155
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Abstract With the wide application of computer technology, how to carry out digital modeling and virtual simulation for the protection of ancient buildings has become a new research field. The combination of LiDAR (LiDAR) point cloud data can significantly improve the performance of 3D spatial information extraction of buildings. To improve the level of ancient building conservation, this article uses LiDAR point cloud data to collect ancient building data, extracts 3D spatial location information from multisource remote sensing optical stereo images, restores 3D spatial structure information of buildings from LiDAR point cloud data, conducts optimized topology research work, jointly extracts 3D spatial information of buildings with structural constraints, and compares the collected data with the original data. The research results show that the traditional data collection method has a large error of about 10%, while the data collected by LiDAR (LiDAR) point cloud data in this article is close to the original data. The error is around 3%, which can well complete the 3D reconstruction and protection of ancient buildings.
AbstractList With the wide application of computer technology, how to carry out digital modeling and virtual simulation for the protection of ancient buildings has become a new research field. The combination of LiDAR (LiDAR) point cloud data can significantly improve the performance of 3D spatial information extraction of buildings. To improve the level of ancient building conservation, this article uses LiDAR point cloud data to collect ancient building data, extracts 3D spatial location information from multisource remote sensing optical stereo images, restores 3D spatial structure information of buildings from LiDAR point cloud data, conducts optimized topology research work, jointly extracts 3D spatial information of buildings with structural constraints, and compares the collected data with the original data. The research results show that the traditional data collection method has a large error of about 10%, while the data collected by LiDAR (LiDAR) point cloud data in this article is close to the original data. The error is around 3%, which can well complete the 3D reconstruction and protection of ancient buildings.
Audience Academic
Author Qiu, Yahui
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Copyright Copyright © 2022 Yahui Qiu.
COPYRIGHT 2022 John Wiley & Sons, Inc.
Copyright © 2022 Yahui Qiu. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0
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SubjectTerms Buildings
Cloud computing
Conservation
Construction
Culture
Data collection
Data entry
Geology
Geospatial data
Global positioning systems
GPS
Historical buildings
Image reconstruction
Information retrieval
Lasers
Lidar
Measurement techniques
Methods
Optical radar
Photogrammetry
Protection and preservation
Remodeling, restoration, etc
Remote sensing
Spatial data
Technology application
Three dimensional models
Topology optimization
Virtual reality
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Title 3D Reconstruction and Intelligent Digital Conservation of Ancient Buildings Based on Laser Point Cloud Data
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