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dc.contributor.authorLee-Morrison, Lila
dc.date.accessioned2020-01-21 10:26:00
dc.date.accessioned2020-04-01T09:15:04Z
dc.date.available2020-04-01T09:15:04Z
dc.date.issued2019
dc.identifier1006714
dc.identifier.urihttp://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.subject.classificationthema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studiesen_US
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.isPublishedByc03bf030-a9f4-472d-8c22-f28a8788e05e
oapen.relation.isbn9783837648461
oapen.imprinttranscript Verlag - Bielefeld University Press
oapen.series.number162
oapen.pages198
oapen.place.publicationBielefeld


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