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Portraits of Automated Facial Recognition
Lila Lee-Morrison
2019
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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.
This book is included in DOAB.
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Keywords
- Art
- biometrics
- Facial Recognition Technology
- Image
- machine vision
- Media Aesthetics
- Media Art
- Media Studies
- Photography
- Society & culture: general
- Society & Social Sciences
- Technology
- Visual Culture
- visual studies
Links
DOI: 10.14361/9783839448465Editions