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

By: Material type: TextTextLanguage: English Series: Image ; 162Publisher: Bielefeld : transcript-Verlag, [2019]Copyright date: ©2019Description: 1 online resource (198 p.)Content type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783839448465
Subject(s): Online resources:
Contents:
Frontmatter -- Table of Contents -- Abstract -- Acknowledgements -- Chapter 1: Introduction -- Chapter 2: Eigenface -- Chapter 3: Francis Galton and the Composite Portrait -- Chapter 4: Wittgenstein and the Composite Portrait -- Chapter 5: Portraiture in the Age of AFR -- Chapter 6: Metaportraits: Thomas Ruff, andere Portraits -- Chapter 7: Faces in Excess: Zach Blas, Facial Weaponization Suite -- Chapter 8: An Algorithmic Ready-made: Trevor Paglen, Adversarially Evolved Hallucination and Eigenface (Even The Dead Are Not Safe) -- Chapter 9: Conclusion -- References -- List of Images
Title is part of eBook package: EBOOK PACKAGE COMPLETE 2019 EnglishTitle is part of eBook package: EBOOK PACKAGE COMPLETE 2019Title is part of eBook package: EBOOK PACKAGE Economics, Law & Social Sciences 2019 ENGTitle is part of eBook package: EBOOK PACKAGE Social Sciences 2019Title is part of eBook package: transcript eBook Package English Frontlist 2019Summary: Through a critical perspective on visual culture studies, this book offers a unique analysis of the use of automated facial recognition algorithms as they increasingly intervene in society. The first part of this study traces the history of merging statistics and vision by reviewing the example of an early facial recognition algorithm called »eigenface«, while the second part addresses contemporary artistic interventions including the work of Thomas Ruff, Zach Blas and Trevor Paglen. This book argues for a closer look at automated facial recognition based on an understanding of its technical processes as not only embedded in historical practices of visuality, but also as redefining what it means to see and be seen in the present.
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Frontmatter -- Table of Contents -- Abstract -- Acknowledgements -- Chapter 1: Introduction -- Chapter 2: Eigenface -- Chapter 3: Francis Galton and the Composite Portrait -- Chapter 4: Wittgenstein and the Composite Portrait -- Chapter 5: Portraiture in the Age of AFR -- Chapter 6: Metaportraits: Thomas Ruff, andere Portraits -- Chapter 7: Faces in Excess: Zach Blas, Facial Weaponization Suite -- Chapter 8: An Algorithmic Ready-made: Trevor Paglen, Adversarially Evolved Hallucination and Eigenface (Even The Dead Are Not Safe) -- Chapter 9: Conclusion -- References -- List of Images

Open Access unrestricted online access star

https://purl.org/coar/access_right/c_abf2

Through a critical perspective on visual culture studies, this book offers a unique analysis of the use of automated facial recognition algorithms as they increasingly intervene in society. The first part of this study traces the history of merging statistics and vision by reviewing the example of an early facial recognition algorithm called »eigenface«, while the second part addresses contemporary artistic interventions including the work of Thomas Ruff, Zach Blas and Trevor Paglen. This book argues for a closer look at automated facial recognition based on an understanding of its technical processes as not only embedded in historical practices of visuality, but also as redefining what it means to see and be seen in the present.

Mode of access: Internet via World Wide Web.

This eBook is made available Open Access under a CC BY-NC 4.0 license:

https://creativecommons.org/licenses/by-nc/4.0

http://www.transcript-verlag.de/open-access-bei-transcript

In English.

Description based on online resource; title from PDF title page (publisher's Web site, viewed 06. Apr 2020)

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