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Applied Face Recognition in the Humanities
Bullin, Martin; Henrich, Andreas (2024): Applied Face Recognition in the Humanities, in: Bamberg: Otto-Friedrich-Universität, S. 179–191.
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Publisher Information:
Year of publication:
2024
Pages:
Source/Other editions:
CEUR Workshop Proceedings / RWTH Aachen (Hg.). - Aachen, Germany, 2023, S. 179–191.
Year of first publication:
2023
Language:
English
Abstract:
Several research areas in the humanities and social sciences could potentially benefit from state-of-the-art machine learning technologies. In the field of computer vision, there are exemplary face detection (FD) and face recognition (FR) algorithms that could provide support on several levels. We discuss two application scenarios where the deployment of trained networks can be used to generate further information. We show how FD can be used to recognize scene types such as dialogue and speech on non-photographic images such as Emblematica. The second part shows another application scenario where FR can be used to combine or link images in research datasets with authority records by finding personalities from the Wikidata dataset.
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Persönlichkeitsdiagnostik
Keywords: ; ; ; ;
Face Recognition
Face Detection
Scene Classification
Personality Mapping
Personality Recognition
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
Type:
Conferenceobject
Activation date:
June 20, 2024
Permalink
https://fis.uni-bamberg.de/handle/uniba/95619