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...

Full description

Saved in:
Bibliographic Details
Published in:Journal of Electrical and Computer Engineering Vol. 2022; pp. 1 - 10
Main Author: Qiu, Yahui
Format: Journal Article
Language:English
Published: New York Hindawi 27.05.2022
John Wiley & Sons, Inc
Wiley
Subjects:
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
China
Tibet
ISSN:2090-0147, 2090-0155
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2090-0147
2090-0155
DOI:10.1155/2022/7182018