| Similarity learning for art analysis On the occasion of the Reformation's anniversary in 2017, a
joint project of the FAU, the Germanisches Nationalmuseum
(GNM) in Nuremberg and the Technology Arts Sciences (TH
Köln) was initiated. Goal of the interdisciplinary project
covering art history, art technology, reformation history
and computer science is the creation of a critical catalog
of Luther portraits (1519-1530).
Martin Luther is known as media star of 16-th century who
has often been portrayed. So far unlike his works, however,
the variety of contemporary portraits (painting and prints)
is neither completely collected nor critically analyzed.
In the subproject of computer science, algorithms will be
developed for cross-genre and multi-modality registration
of portraits to overlay digitized paintings and prints as
well as paintings acquired with different imaging systems
such as visible light photography and infrared
reflectography. Then, methods will be developed to
objectively analyze the portraits according to their
similarity.
The analysis of similarities shall allow us to draw
conclusions concerning serial production processes and lead
to a temporal and contextual classification of the
artworks. | Project manager:
Prof. Dr.-Ing. habil. Andreas Maier
Project participants:
Aline Sindel, M. Sc., Dr.-Ing. Vincent Christlein
Keywords:
similarity analysis; registration; paintings; prints
Duration: 1.6.2018 - 28.2.2021
Sponsored by:
Leibniz-Gemeinschaft
Contact:
Sindel, Aline
Phone +49 9131 85 27882, Fax +49 9131 85 27270, E-Mail: aline.sindel@fau.de
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