Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W5, 185-192, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W5-185-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
18 Aug 2017
CURRENT STATE OF THE ART HISTORIC BUILDING INFORMATION MODELLING
C. Dore1 and M. Murphy2 1Dublin Institute of Technology
2VBE Lab Ireland
Keywords: HBIM, Digital Heritage Documentation, Laser Scanning, Photogrammetry, Heritage Management, Procedural Modelling 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.
Conference paper (PDF, 1484 KB)


Citation: Dore, C. and Murphy, M.: CURRENT STATE OF THE ART HISTORIC BUILDING INFORMATION MODELLING, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W5, 185-192, https://doi.org/10.5194/isprs-archives-XLII-2-W5-185-2017, 2017.

BibTeX EndNote Reference Manager XML