Portraits of Automated Facial Recognition On Machinic Ways of Seeing the Face

Portraits of Automated Facial Recognition On Machinic Ways of Seeing the Face

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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« an...

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Bibliographic Details
Main Author: Lee-Morrison, Lila (auth)
Format: Electronic Book Chapter
Language:English
Published: Bielefeld 2019
Series:Image
Subjects:
Media studies
Visual Culture
Machine Vision
Facial Recognition Technology
Biometrics
Art
Technology
Image
Media Aesthetics
Visual Studies
Media Art
Photography
Media Studies
Online Access:DOAB: download the publication
DOAB: description of the publication
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Description
Summary: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.
Physical Description:1 electronic resource (198 p.)
ISBN:9783839448465
9783837648461
Access:Open Access

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