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Portraits of Automated Facial Recognition : On Machinic Ways of Seeing the Face
by Lila Lee-Morrison




Overview -

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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More About Portraits of Automated Facial Recognition by Lila Lee-Morrison

 
 
 

Overview

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 item is Non-Returnable.

 

Details

  • ISBN-13: 9783837648461
  • ISBN-10: 383764846X
  • Publisher: Transcript Publishing
  • Publish Date: June 2020
  • Page Count: 198
  • Dimensions: 9 x 6 x 0.42 inches
  • Shipping Weight: 0.6 pounds

Series: Image

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