Skip Nav Destination
Close Modal
Update search
NARROW
Date
Availability
1-1 of 1
Andrea M. Frank
Close
Follow your search
Access your saved searches in your account
Would you like to receive an alert when new items match your search?
Sort by
Journal Articles
Publisher: Journals Gateway
Leonardo (2021) 54 (6): 619–624.
Published: 22 December 2021
FIGURES
Abstract
View article
PDF
The authors use convolutional neural networks (CNNs) to analyze authorship questions surrounding the works of Leonardo da Vinci—in particular, Salvator Mundi , the world’s most expensive painting and among the most controversial. Trained on the works of an artist under study and visually comparable works of other artists, the authors’ system can identify likely forgeries and shed light on attribution controversies. Leonardo’s few extant paintings test the limits of the system and require corroborative techniques of testing and analysis.
Includes: Multimedia, Supplementary data