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  1. Portraits of Automated Facial Recognition : On Machinic Ways of Seeing the Face
    Published: 2019

    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... more

     

    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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    Source: OAPEN
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783839448465; 9783837648461
    Other identifier:
    Subjects: Media studies
    Other subjects: Visual Culture; Machine Vision; Facial Recognition Technology; Biometrics; Art; Technology; Image; Media Aesthetics; Visual Studies; Media Art; Photography; Media Studies
    Scope: 1 electronic resource (198 p.)
  2. Portraits of automated facial recognition
    on machinic ways of seeing the face
    Published: [2019]; © 2019
    Publisher:  transcript, Bielefeld

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    Content information
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    Source: Union catalogues
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783839448465
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    DDC Categories: 300
    Series: Image ; volume 162
    Subjects: Rezeption; Visualisierung; Gesichtserkennung; Ästhetik
    Other subjects: Blas, Zach (1981-); Ruff, Thomas (1958-); Paglen, Trevor (1974-); Fachpublikum/ Wissenschaft; Machine Vision; Facial Recognition Technology; Biometrics; Art; Technology; Image; Media Aesthetics; Visual Studies; Media Art; Photography; Media Studies; 700; 770
    Scope: 1 Online-Ressource (198 Seiten)
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    Erscheint als Open Access bei De Gruyter

  3. Portraits of Automated Facial Recognition
    On Machinic Ways of Seeing the Face
    Published: 2019
    Publisher:  transcript Verlag, Bielefeld

    <p>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... more

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    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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  4. Portraits of Automated Facial Recognition
    On Machinic Ways of Seeing the Face
    Published: 2019
    Publisher:  transcript Verlag, Bielefeld

    <p>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... more

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    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.

     

    Export to reference management software   RIS file
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  5. Portraits of automated facial recognition
    on machinic ways of seeing the face
    Published: [2019]; © 2019
    Publisher:  transcript, Bielefeld

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    Volltext (kostenfrei)
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    Cover (lizenzpflichtig)
    Source: Staatsbibliothek zu Berlin
    Language: English
    Media type: Ebook
    Format: Online
    ISBN: 9783839448465
    Other identifier:
    DDC Categories: 300
    Series: Image ; volume 162
    Subjects: Rezeption; Visualisierung; Gesichtserkennung; Ästhetik
    Other subjects: Blas, Zach (1981-); Ruff, Thomas (1958-); Paglen, Trevor (1974-); Fachpublikum/ Wissenschaft; Machine Vision; Facial Recognition Technology; Biometrics; Art; Technology; Image; Media Aesthetics; Visual Studies; Media Art; Photography; Media Studies; 700; 770
    Scope: 1 Online-Ressource (198 Seiten)
    Notes:

    Erscheint als Open Access bei De Gruyter