Multi-Modal Signal Processing for Art Investigation
Description
This research project develops machine learning technology ingesting multi-dimensional datasets acquired on paintings to reveal features of interest within paintings such as underdrawings, pentimenti, or concealed designs.
Partners
- Royal Society
Funding
This project is funded by a Royal Society Newton International Fellowship.
