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CURRENT STATE OF THE ART HISTORIC BUILDING INFORMATION MODELLING

International archives of the photogrammetry, remote sensing and spatial information sciences., 2017, Vol.XLII-2/W5, p.185-192 [Peer Reviewed Journal]

2017. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2194-9034 ;ISSN: 1682-1750 ;EISSN: 2194-9034 ;DOI: 10.5194/isprs-archives-XLII-2-W5-185-2017

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  • Title:
    CURRENT STATE OF THE ART HISTORIC BUILDING INFORMATION MODELLING
  • Author: Dore, C. ; Murphy, M.
  • Subjects: Applications programs ; Automation ; Building management systems ; Data capture ; Data collection ; Environment models ; Feature extraction ; Feature recognition ; Historic buildings & sites ; Historical buildings ; Literature reviews ; Modelling ; Object recognition ; Surveying ; Three dimensional models
  • Is Part Of: International archives of the photogrammetry, remote sensing and spatial information sciences., 2017, Vol.XLII-2/W5, p.185-192
  • Description: In an extensive review of existing literature a number of observations were made in relation to the current approaches for recording and modelling existing buildings and environments: Data collection and pre-processing techniques are becoming increasingly automated to allow for near real-time data capture and fast processing of this data for later modelling applications. Current BIM software is almost completely focused on new buildings and has very limited tools and pre-defined libraries for modelling existing and historic buildings. The development of reusable parametric library objects for existing and historic buildings supports modelling with high levels of detail while decreasing the modelling time. Mapping these parametric objects to survey data, however, is still a time-consuming task that requires further research. Promising developments have been made towards automatic object recognition and feature extraction from point clouds for as-built BIM. However, results are currently limited to simple and planar features. Further work is required for automatic accurate and reliable reconstruction of complex geometries from point cloud data. Procedural modelling can provide an automated solution for generating 3D geometries but lacks the detail and accuracy required for most as-built applications in AEC and heritage fields.
  • Publisher: Gottingen: Copernicus GmbH
  • Language: English
  • Identifier: ISSN: 2194-9034
    ISSN: 1682-1750
    EISSN: 2194-9034
    DOI: 10.5194/isprs-archives-XLII-2-W5-185-2017
  • Source: AUTh Library subscriptions: ProQuest Central
    DOAJ Directory of Open Access Journals
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