Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method

Building is an immovable asset that requires accurate mapping and efficient documentation. Limitation of 2D- based data acquisition and insufficient semantic information on its geometry make the building documentation becomes less effective. Plus, even 3D- based data acquisition is used, it does not...

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Main Author:	Razali, Ahmad Firdaus
Format:	Thesis
Language:	English
Published:	2022
Subjects:	G70.212-70.215 Geographic information system
Online Access:	http://eprints.utm.my/id/eprint/100138/1/AhmadFirdausRazaliMFABU2022.pdf
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id	my-utm-ep.100138
record_format	uketd_dc
spelling	my-utm-ep.1001382023-03-29T06:50:19Z Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method 2022 Razali, Ahmad Firdaus G70.212-70.215 Geographic information system Building is an immovable asset that requires accurate mapping and efficient documentation. Limitation of 2D- based data acquisition and insufficient semantic information on its geometry make the building documentation becomes less effective. Plus, even 3D- based data acquisition is used, it does not cover whole details optimally. The objectives of this research are to combine two geospatial surveying techniques; terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) photogrammetry dataset into 3D modelling and to determine accuracy of the point clouds and the rendered 3D model. A geodetic laser scanner-2000 (GLS- 2000) terrestrial laser scanner was used to record existing details of Dewan Muafakat Johor, Taman Kobena, Tampoi, Johor Bahru, Johor. Meanwhile, UAV-photogrammetry was utilized to capture the rooftop and the aerial view of the building. Both pointcloud data from TLS and UAV-photogrammetry are integrated using Identical Point Picking (IPP) registration method until combined clouds called hybrid point cloud dataset are produced. A level of detail (LOD 3) of a three-dimensional (3D) model was developed using Sketchup and Undet For Sketchup (UFS) software based on the hybrid pointcloud. The root mean square error (RMSE) obtained shows that point cloud dataset is more accurate with 0.132m compared to higher RMSE, 0.455m of rendered 3D model dataset. As this study focuses on 3D data representation which significant for asset documentation, building monitoring and building information modelling (BIM) are the example of applications in the industry that suit with the purpose. Hence, the output from this study especially in terms of measurement and accuracy would be referable for decision making in building documentation. 2022 Thesis http://eprints.utm.my/id/eprint/100138/ http://eprints.utm.my/id/eprint/100138/1/AhmadFirdausRazaliMFABU2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:150039 masters Universiti Teknologi Malaysia, Faculty of Built Environment & Surveying Faculty of Built Environment & Surveying
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	G70.212-70.215 Geographic information system
spellingShingle	G70.212-70.215 Geographic information system Razali, Ahmad Firdaus Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method
description	Building is an immovable asset that requires accurate mapping and efficient documentation. Limitation of 2D- based data acquisition and insufficient semantic information on its geometry make the building documentation becomes less effective. Plus, even 3D- based data acquisition is used, it does not cover whole details optimally. The objectives of this research are to combine two geospatial surveying techniques; terrestrial laser scanning (TLS) and unmanned aerial vehicle (UAV) photogrammetry dataset into 3D modelling and to determine accuracy of the point clouds and the rendered 3D model. A geodetic laser scanner-2000 (GLS- 2000) terrestrial laser scanner was used to record existing details of Dewan Muafakat Johor, Taman Kobena, Tampoi, Johor Bahru, Johor. Meanwhile, UAV-photogrammetry was utilized to capture the rooftop and the aerial view of the building. Both pointcloud data from TLS and UAV-photogrammetry are integrated using Identical Point Picking (IPP) registration method until combined clouds called hybrid point cloud dataset are produced. A level of detail (LOD 3) of a three-dimensional (3D) model was developed using Sketchup and Undet For Sketchup (UFS) software based on the hybrid pointcloud. The root mean square error (RMSE) obtained shows that point cloud dataset is more accurate with 0.132m compared to higher RMSE, 0.455m of rendered 3D model dataset. As this study focuses on 3D data representation which significant for asset documentation, building monitoring and building information modelling (BIM) are the example of applications in the industry that suit with the purpose. Hence, the output from this study especially in terms of measurement and accuracy would be referable for decision making in building documentation.
format	Thesis
qualification_level	Master's degree
author	Razali, Ahmad Firdaus
author_facet	Razali, Ahmad Firdaus
author_sort	Razali, Ahmad Firdaus
title	Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method
title_short	Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method
title_full	Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method
title_fullStr	Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method
title_full_unstemmed	Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method
title_sort	three-dimensional (3d) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using identical point picking (ipp) registration method
granting_institution	Universiti Teknologi Malaysia, Faculty of Built Environment & Surveying
granting_department	Faculty of Built Environment & Surveying
publishDate	2022
url	http://eprints.utm.my/id/eprint/100138/1/AhmadFirdausRazaliMFABU2022.pdf
_version_	1776100660539817984

Three-dimensional (3D) reconstruction of a building from terrestrial laser scanning and photogrammetry dataset using Identical Point Picking (IPP) registration method

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