Accuracy evaluation of the semi-automatic 3D modeling for historical building information models

Antón, D ORCID: https://orcid.org/0000-0002-4267-2433, Medjdoub, B ORCID: https://orcid.org/0000-0002-3402-4479, Shrahily, R ORCID: https://orcid.org/0000-0002-7615-4116 and Moyano, JJ ORCID: https://orcid.org/0000-0002-2186-6159, 2018. Accuracy evaluation of the semi-automatic 3D modeling for historical building information models. International Journal of Architectural Heritage, 12 (5), pp. 790-805. ISSN 1558-3058

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Abstract

It is stated that 3D recording and modelling of heritage buildings entails accurate building models (as-built). However, this paper presents an analysis of the 3D modelling accuracy for the creation of historical building information models (HBIM), considering the complexity and the deformations of historical buildings, using point cloud data and BIM tools. The 3D modelling processes analysed are based on a three-stage semi-automatic approach leading to the generation of HBIM, including manual and automatic processes. The three stages consist of: (a) optical and terrestrial laser scanning; (b) meshing processes; and finally (c) 3D solid modelling to be assembled into HBIM. Next, this approach analysed the mesh deformations generated automatically in comparison to the initial point cloud data. The deformations and the accuracy evaluation have been undertaken using different commercial software. Finally, our modelling approach shows that it can improve the accuracy of the 3D models achieved using existing BIM technologies.

Item Type:	Journal article
Publication Title:	International Journal of Architectural Heritage
Creators:	Antón, D., Medjdoub, B., Shrahily, R. and Moyano, J.J.
Publisher:	Taylor & Francis
Date:	1 January 2018
Volume:	12
Number:	5
ISSN:	1558-3058
Identifiers:	Number Type 10.1080/15583058.2017.1415391 DOI
Divisions:	Schools > School of Architecture, Design and the Built Environment
Record created by:	Linda Sullivan
Date Added:	26 Feb 2018 14:06
Last Modified:	04 Jun 2021 13:44
URI:	https://irep.ntu.ac.uk/id/eprint/32801

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