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dc.contributor.authorLee-Morrison, Lila
dc.date.issued2019
dc.date.submitted2020-01-21 10:26:00
dc.date.submitted2020-04-01T09:15:04Z
dc.identifier1006714
dc.identifierhttp://library.oapen.org/handle/20.500.12657/23435
dc.description.abstractAutomated 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.
dc.languageEnglish
dc.relation.ispartofseriesImage
dc.rightsopen access
dc.subject.classificationbic Book Industry Communication::J Society & social sciences::JF Society & culture: general::JFD Media studies
dc.subject.otherVisual Culture
dc.subject.otherMachine Vision
dc.subject.otherFacial Recognition Technology
dc.subject.otherBiometrics
dc.subject.otherArt
dc.subject.otherTechnology
dc.subject.otherImage
dc.subject.otherMedia Aesthetics
dc.subject.otherVisual Studies
dc.subject.otherMedia Art
dc.subject.otherPhotography
dc.subject.otherMedia Studies
dc.titlePortraits of Automated Facial Recognition
dc.title.alternativeOn Machinic Ways of Seeing the Face
dc.typebook
oapen.identifier.doi10.14361/9783839448465
oapen.relation.isbn9783837648461
oapen.imprinttranscript Verlag - Bielefeld University Press
oapen.pages198
oapen.place.publicationBielefeld
dc.seriesnumber162


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Except where otherwise noted, this item's license is described as open access