Part of Historic Environment Scotland

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.

  • Audiences

    Researchers, Conservation and Heritage Enthusiasts

  • Date Published

    28 April 2022

  • Publisher

    Historic Environment Scotland

  • Publication Types

    Technical Paper

  • 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

  • Format(s)

  • Language


  • Subjects

    Climate Change

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A cover page featuring a stone wall with some stones coloured in by a computer