Our Biometric Future

Our Biometric Future

Author: Kelly A. Gates

Publisher: NYU Press

Published: 2011-01-23

Total Pages: 276

ISBN-13: 0814732798

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Since the 1960s, a significant effort has been underway to program computers to “see” the human face—to develop automated systems for identifying faces and distinguishing them from one another—commonly known as Facial Recognition Technology. While computer scientists are developing FRT in order to design more intelligent and interactive machines, businesses and states agencies view the technology as uniquely suited for “smart” surveillance—systems that automate the labor of monitoring in order to increase their efficacy and spread their reach. Tracking this technological pursuit, Our Biometric Future identifies FRT as a prime example of the failed technocratic approach to governance, where new technologies are pursued as shortsighted solutions to complex social problems. Culling news stories, press releases, policy statements, PR kits and other materials, Kelly Gates provides evidence that, instead of providing more security for more people, the pursuit of FRT is being driven by the priorities of corporations, law enforcement and state security agencies, all convinced of the technology’s necessity and unhindered by its complicated and potentially destructive social consequences. By focusing on the politics of developing and deploying these technologies, Our Biometric Future argues not for the inevitability of a particular technological future, but for its profound contingency and contestability.


Portraits of Automated Facial Recognition

Portraits of Automated Facial Recognition

Author: Lila Lee-Morrison

Publisher: transcript Verlag

Published: 2019-11-30

Total Pages: 199

ISBN-13: 3839448468

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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.


Handbook of Face Recognition

Handbook of Face Recognition

Author: Stan Z. Li

Publisher: Springer Science & Business Media

Published: 2011-08-22

Total Pages: 694

ISBN-13: 0857299328

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This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational face recognition systems. After a thorough introductory chapter, each of the following chapters focus on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions. Features: fully updated, revised and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated face detection and recognition systems; provides comprehensive coverage of face detection, tracking, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications; contains numerous step-by-step algorithms; describes a broad range of applications; presents contributions from an international selection of experts; integrates numerous supporting graphs, tables, charts, and performance data.


Face Recognition Technologies

Face Recognition Technologies

Author: Douglas Yeung

Publisher: Rand Corporation

Published: 2020-05-15

Total Pages: 90

ISBN-13: 197740457X

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Face recognition technologies (FRTs) have many practical security-related purposes, but advocacy groups and individuals have expressed apprehensions about their use. This report highlights the high-level privacy and bias implications of FRT systems. The authors propose a heuristic with two dimensions -- consent status and comparison type -- to help determine a proposed FRT's level of privacy and accuracy. They also identify privacy and bias concerns.


Understanding Facial Recognition Difficulties in Children

Understanding Facial Recognition Difficulties in Children

Author: Nancy Mindick

Publisher: Jessica Kingsley Publishers

Published: 2011-05-15

Total Pages: 144

ISBN-13: 0857004948

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Can you imagine not being able to recognize those you know if they wore glasses, changed their hairstyle, or perhaps put on a hat? Prosopagnosia is a severe facial recognition disorder that is thought to impact around two per cent of the population. Frequently found in children on the autism spectrum, those with the condition have difficulties distinguishing between one face and the next, meaning that they may not recognize even those who are closest to them. Nancy L. Mindick provides parents, teachers, and other professionals with an accessible explanation of the different types, causes, and characteristics of prosopagnosia. Providing an insider's perspective on the condition, she suggests ways to recognize the signs of facial recognition difficulties in children, and offers specific ideas for ensuring that they are properly supported in their learning and social development. The issues of diagnosis and disclosure are explored, and the author offers practical management strategies for helping children to cope with the condition and to navigate the many different social situations they will encounter at home, at school, and in the community. This book offers specific, practical information for parents, teachers, child psychologists, and anyone else who wishes to support the learning and development of a child with a facial recognition disorder.


Reliable Face Recognition Methods

Reliable Face Recognition Methods

Author: Harry Wechsler

Publisher: Springer Science & Business Media

Published: 2009-04-05

Total Pages: 332

ISBN-13: 0387384642

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This book seeks to comprehensively address the face recognition problem while gaining new insights from complementary fields of endeavor. These include neurosciences, statistics, signal and image processing, computer vision, machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future research and development. The book’s focused approach and its clarity of presentation make this an excellent reference work.


Face Recognition Technology

Face Recognition Technology

Author: Ian Berle

Publisher: Springer Nature

Published: 2020-03-11

Total Pages: 221

ISBN-13: 3030368874

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This book examines how face recognition technology is affecting privacy and confidentiality in an era of enhanced surveillance. Further, it offers a new approach to the complex issues of privacy and confidentiality, by drawing on Joseph K in Kafka’s disturbing novel The Trial, and on Isaiah Berlin’s notion of liberty and freedom. Taking into consideration rights and wrongs, protection from harm associated with compulsory visibility, and the need for effective data protection law, the author promotes ethical practices by reinterpreting privacy as a property right. To protect this right, the author advocates the licensing of personal identifiable images where appropriate. The book reviews American, UK and European case law concerning privacy and confidentiality, the effect each case has had on the developing jurisprudence, and the ethical issues involved. As such, it offers a valuable resource for students of ethico-legal fields, professionals specialising in image rights law, policy-makers, and liberty advocates and activists.


Face Recognition

Face Recognition

Author: Sam S. Rakover

Publisher: John Benjamins Publishing

Published: 2001-10-12

Total Pages: 316

ISBN-13: 9027298394

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Face Recognition: Cognitive and Computational Processes critically discusses current research in face recognition, leading to an original approach with criminological applications. The book covers • The methodological and philosophical basis of research in face recognition. • Findings and their explanations, conceptual issues, theories and models of face recognition • The Catch Model (Rakover & Cahlon) for reconstructing (identifying) a face from memory, and other models and methods of face reconstruction. • Conscious perception and recognition of faces. The book also discusses original ideas on conceptualizing face perception and recognition in tasks of facial cognition, developing the Schema Theory and the Catch Model, and introducing Rakover & Cahlon's discovery of the proposed law of Face Recognition by Similarity (FRBS). (Series B)


Handbook of Face Recognition

Handbook of Face Recognition

Author: Stan Z. Li

Publisher: Springer Science & Business Media

Published: 2005-03-15

Total Pages: 428

ISBN-13: 9780387405957

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"This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions." "This accessible, practical reference is an essential resource for scientists and engineers, practitioners, government officials, and students planning to work in image processing, computer vision, biometrics and security, Internet communications, computer graphics, animation, and the computer game industry."--BOOK JACKET.


Face Detection and Gesture Recognition for Human-Computer Interaction

Face Detection and Gesture Recognition for Human-Computer Interaction

Author: Ming-Hsuan Yang

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 188

ISBN-13: 1461514231

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Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyzing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, facial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.