Abstract
Architectural and Engineering Communities are interested in the detection of differences between different representations of the same building. These can be the differences between the design and the as-built-state of a building, or the detection of changes that occur over time and that are documented by consecutive 3D scans. Current approaches for the detection of differences between 3D scans and 3D building models are however laborious and work only on the level of a building element. We demonstrate a novel highly automated workflow to detect differences between representations of the same building. We discuss the underlying tools and methods and the ways to communicate deviations and differences in an appropriate manner and evaluate our approach with a rich set of real world datasets.
Original language | English |
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Title of host publication | Complexity & Simplicity : Proceedings of the 34th eCAADe Conference |
Editors | Aulikki Herneoja, Toni Österlund, Piia Markkanen |
Number of pages | 9 |
Volume | 2 |
Publisher | eCAADe (Education and Research in Computer Aided Architectural Design in Europe) and ITU / YTU |
Publication date | 2016 |
Pages | 643-651 |
Publication status | Published - 2016 |
Event | 34th eCAADe : Complexity & Simplicity - Oulu School of Architecture, University of Oulu, Oulu, Finland Duration: 24 Aug 2016 → 26 Aug 2016 Conference number: 34 http://www.oulu.fi/architecture/2016ecaade |
Conference
Conference | 34th eCAADe |
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Number | 34 |
Location | Oulu School of Architecture, University of Oulu |
Country/Territory | Finland |
City | Oulu |
Period | 24/08/2016 → 26/08/2016 |
Internet address |
Keywords
- 3d scan
- BIM
- Machine learning
- Point Clouds
- Big Data
Artistic research
- No