Explore
Portraits of Automated Facial Recognition
Lila Lee-Morrison
2019
0 Ungluers have
Faved this Work
Login to Fave
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.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 280 times via unglue.it ebook links.
- 108 - pdf (CC BY-NC) at OAPEN Library.
- 172 - pdf (CC BY-NC) at Unglue.it.
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