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oapen-20.500.12657-23435
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oapen-20.500.12657-234352024-03-22T19:22:55Z Portraits of Automated Facial Recognition Lee-Morrison, Lila Visual Culture Machine Vision Facial Recognition Technology Biometrics Art Technology Image Media Aesthetics Visual Studies Media Art Photography Media Studies thema EDItEUR::J Society and Social Sciences::JB Society and culture: general::JBC Cultural and media studies::JBCT Media studies 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. 2020-01-21 10:26:00 2020-04-01T09:15:04Z 2020-04-01T09:15:04Z 2019 book 1006714 9783837648461 http://library.oapen.org/handle/20.500.12657/23435 eng Image application/pdf n/a 9783839448465.pdf http://www.transcript-verlag.de/978-3-8376-4846-1/ Bielefeld University Press transcript Verlag - Bielefeld University Press 10.14361/9783839448465 10.14361/9783839448465 c03bf030-a9f4-472d-8c22-f28a8788e05e 9783837648461 transcript Verlag - Bielefeld University Press 162 198 Bielefeld open access
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| institution |
OAPEN
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DSpace
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| language |
English
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| description |
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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| title |
9783839448465.pdf
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| spellingShingle |
9783839448465.pdf
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| title_short |
9783839448465.pdf
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| title_full |
9783839448465.pdf
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| title_fullStr |
9783839448465.pdf
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| title_full_unstemmed |
9783839448465.pdf
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| title_sort |
9783839448465.pdf
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| publisher |
Bielefeld University Press
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| publishDate |
2020
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| url |
http://www.transcript-verlag.de/978-3-8376-4846-1/
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| _version_ |
1799945271255236608
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