Artificial intelligence for art investigation: Meeting the challenge of separating x-ray images of the Ghent Altarpiece
- Submitting institution
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University College London
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12740
- Type
- D - Journal article
- DOI
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10.1126/sciadv.aaw7416
- Title of journal
- SCIENCE ADVANCES
- Article number
- ARTN eaaw7416
- First page
- -
- Volume
- 5
- Issue
- 8
- ISSN
- 2375-2548
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2019
- URL
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- Supplementary information
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- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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4
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- With wide coverage in the media, e.g. The Telegraph and Forbes, this research conducted in collaboration with the National Gallery is the world-first to propose artificial intelligence techniques to solve outstanding challenges in art investigation. Led to new insights in the analysis of a number of Old-Master paintings. Led also to various talks including at the International Congress of Industrial and Applied Mathematics 2019 (title: Artificial Intelligence for Art Investigation). It also supported the case for establishing an AI&Arts Turing Interest Group involving various UK institutions such as Arts Council, National Gallery, British Museum, British Library, and AHRC.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -