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| Craquelure Analysis via Neural Vision and Surface Scanning (CANVAS)
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Project Description:
The WISS2030 project "Craquelure Analysis via Neural Vision and Surface Scanning (CANVAS)" is one out of four
projects funded by the Salzburg state government AI Research Salzburg 2025 initiative.
The project examines fine crack patterns in old paintings in two to three dimensions and high resolution, involving innovative imaging techniques.
The aim is to distinguish originals from forgeries more reliably, determine the age of artworks more precisely, and support museums
and art experts in preserving cultural heritage.
This project is led by Christoph von Hagke (PLUS, Department of
Geology) and is conducted in
collaboration with the Kunsthistorisches Museum Vienna.
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