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• W2745582482 startingPage "185" @default.
• W2745582482 abstract "Abstract. 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." @default.
• W2745582482 created "2017-08-31" @default.
• W2745582482 creator A5058479925 @default.
• W2745582482 creator A5080917939 @default.
• W2745582482 date "2017-08-18" @default.
• W2745582482 modified "2023-10-16" @default.
• W2745582482 title "CURRENT STATE OF THE ART HISTORIC BUILDING INFORMATION MODELLING" @default.
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• W2745582482 doi "https://doi.org/10.5194/isprs-archives-xlii-2-w5-185-2017" @default.
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