Technical Paper 38
Digital documentation, computer vision and machine learning for masonry surveying and maintenance
There are 500,000 pre-1919 masonry buildings in Scotland, and they are under increasingly significant strain due to climate change.
This report, in partnership with HES, the University of Edinburgh and Heriot-Watt University, explores different 3D surveying techniques and presents data processing solutions for both segmenting 3D point clouds and detecting and classifying visible defects of masonry walls.
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Audiences
Researchers, Conservation and Heritage Enthusiasts
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Date Published
28 April 2022
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Publisher
Historic Environment Scotland
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Publication Types
Technical Paper
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Author(s)
Dr Frédéric Bosché
Senior lecturer in Construction Informatics in the School of Engineering, University of Edinburgh
Dr Alan Forster
Associate Professor within the Royal Academy of Engineering Centre of Excellence in Sustainable Urban Design, Heriot-Watt University.
Dr Enrique Valero
Research Associate in the School of Engineering, University of Edinburgh
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Format(s)
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Language
English
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Subjects
Climate Change
