Portraits of Automated Facial Recognition

On Machinic Ways of Seeing the Face

Automated facial recognition algorithms are increasingly intervening in society. This book offers a unique analysis of these algorithms from a critical visual culture studies perspective. The first part of this study examines the example of an early facial recognition algorithm called »eigenface« and traces a history of the merging of statistics and vision. The second part addresses contemporary artistic engagements with facial recognition technology in the work of Thomas Ruff, Zach Blas, and Trevor Paglen. This book argues that we must take a closer look at the technology of automated facial recognition and claims that its forms of representation are embedded with visual politics. Even more significantly, this technology is redefining what it means to see and be seen in the contemporary world.

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2019-11-26, 198 pages
ISBN: 978-3-8394-4846-5
File size: 6.1 MB

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Lila Lee-Morrison

Lila Lee-Morrison, Lunds Universitet, Schweden

Author(s)
Lila Lee-Morrison
Book title
Portraits of Automated Facial Recognition On Machinic Ways of Seeing the Face
Publisher
transcript Verlag
Pages
198
Features
24 SW-Abbildungen, 12 Farbabbildungen
ISBN
978-3-8394-4846-5
DOI
Commodity Group
1744
BIC-Code
JFD ABA AFKV
BISAC-Code
SOC052000 ART009000 ART057000
THEMA-Code
JBCT ABA AFKV
Release date
2019-11-26
Topics
Kunst, Technik, Bild
Readership
Visual Culture, Media Studies, Philosophy, Sociology, Art History, Science and Technology Studies
Keywords/Tags
Visual Culture, Machine Vision, Facial Recognition Technology, Biometrics, Art, Technology, Image, Media Aesthetics, Visual Studies, Media Art, Photography, Media Studies

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