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A Neural Network Looks at Leonardo's(?) Salvator Mundi.

Authors :
Frank, Steven J.
Frank, Andrea M.
Source :
Leonardo. Dec2021, Vol. 54 Issue 6, p619-624. 7p. 2 Color Photographs, 2 Charts, 1 Graph.
Publication Year :
2021

Abstract

The authors use convolutional neural networks (CNNs) to analyze authorship questions surrounding the works of Leonardo da Vinciā€”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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0024094X
Volume :
54
Issue :
6
Database :
Academic Search Index
Journal :
Leonardo
Publication Type :
Academic Journal
Accession number :
154255183
Full Text :
https://doi.org/10.1162/leon_a_02004