Technical Paper 38: Digital documentation, computer vision and machine learning for masonry surveying and maintenance

Frédéric Bosché; Alan Mark Forster; Enrique Valero Rodriguez

Technical Paper 38: Digital documentation, computer vision and machine learning for masonry surveying and maintenance

Frédéric Bosché, Alan Mark Forster, Enrique Valero Rodriguez

School of Engineering

Research output: Book/Report › Commissioned report

Abstract / Description of output

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.

Original language	English
Publisher	Historic Environment Scotland
Number of pages	40
ISBN (Electronic)	978 1 84917 400 8
ISBN (Print)	978 1 84917 400 8
Publication status	Published - 28 Apr 2022

Keywords / Materials (for Non-textual outputs)

Climate change

Access to Document

technical-paper-38
© Historic Environment Scotland 2022 You may re-use this information (excluding logos and images) free of charge in any format or medium, under the terms of the Open Government Licence v3.0 except where otherwise stated.
Final published version, 5.47 MBLicence: Other

https://www.historicenvironment.scot/archives-and-research/publications/publication/?publicationId=725ab05d-51f5-44eb-84a7-ae8500908d82Licence: Other

Historic Digital Survey (HDS) - Digital Data Acquisition, Processing and Management for Historic Building Fabric Condition Survey and Interpretation - HDS III - Standalone Software for Automated Masonry Wall Segmentation
Bosche, F.
UK central government bodies/local authorities, health and hospital authorities
1/04/19 → 31/05/20
Project: Research

Cite this

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abstract = "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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AB - 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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Technical Paper 38: Digital documentation, computer vision and machine learning for masonry surveying and maintenance

Abstract / Description of output

Keywords / Materials (for Non-textual outputs)

Access to Document

Fingerprint

Projects

Historic Digital Survey (HDS) - Digital Data Acquisition, Processing and Management for Historic Building Fabric Condition Survey and Interpretation - HDS III - Standalone Software for Automated Masonry Wall Segmentation

Cite this