{"product_id":"portraits-of-automated-facial-recognition-on-machinic-ways-of-seeing-the-face-9783837648461","title":"Portraits of Automated Facial Recognition - On Machinic Ways of Seeing the Face","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003eThis book explores the critical visual culture studies perspective of automated facial recognition algorithms, tracing the history of their merging with statistics and vision and examining contemporary artistic engagements with the technology. It argues that we must take a closer look at the technology and its embedded visual politics, as it redefines what it means to see and be seen in the contemporary world. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 198 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 20 December 2021\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Transcript Verlag\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003eAutomated facial recognition algorithms have become increasingly prevalent in society, and this book provides a unique analysis of these algorithms from a critical visual culture studies perspective. The first part of the study examines the example of an early facial recognition algorithm called eigenface and traces the history of the merging of statistics and vision. The second part explores contemporary artistic engagements with facial recognition technology in the work of Thomas Ruff, Zach Blas, and Trevor Paglen. The 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. Moreover, this technology is redefining what it means to see and be seen in the contemporary world.\u003cbr\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAutomated facial recognition algorithms have become increasingly prevalent in society, and this book provides a unique analysis of these algorithms from a critical visual culture studies perspective. The first part of the study examines the example of an early facial recognition algorithm called eigenface and traces the history of the merging of statistics and vision. The second part explores contemporary artistic engagements with facial recognition technology in the work of Thomas Ruff, Zach Blas, and Trevor Paglen. The 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. Moreover, this technology is redefining what it means to see and be seen in the contemporary world.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWeight\u003c\/strong\u003e: 666g\u003cbr\u003e\u003cstrong\u003eDimension\u003c\/strong\u003e: 226 x 147 x 15 (mm)\u003cbr\u003e\u003cstrong\u003eISBN-13\u003c\/strong\u003e: 9783837648461\u003c\/p\u003e","brand":"Lila Lee-morrison","offers":[{"title":"Paperback \/ softback","offer_id":44097322320122,"sku":"9783837648461","price":33.29,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/products\/1646138155065_book.jpg?v=1646907582","url":"https:\/\/shulphink.com\/products\/portraits-of-automated-facial-recognition-on-machinic-ways-of-seeing-the-face-9783837648461","provider":"Shulph Ink","version":"1.0","type":"link"}