5 books on Facial recognition [PDF]

Updated: May 15, 2024

Books on Facial Recognition offer invaluable insights for startups focused on developing facial recognition technologies and applications. These resources provide an essential foundation in the complexities of facial recognition, covering topics such as deep learning, computer vision, and biometric identification. They delve into algorithm design, accuracy improvement, privacy concerns, and ethical considerations, giving startups a holistic understanding of the technology. Additionally, these books often include case studies and practical implementation strategies, enabling facial recognition startups to learn from real-world applications in fields like security, authentication, and surveillance.

1. Face Recognition Technology: Compulsory Visibility and Its Impact on Privacy and the Confidentiality of Personal Identifiable Images
2020 by Ian Berle



This book explores the impact of face recognition technology on privacy and the confidentiality of personal identifiable images in an era characterized by heightened surveillance. It introduces a fresh perspective to the intricate terrain of privacy and confidentiality, drawing inspiration from Joseph K's experiences in Kafka's unsettling narrative, "The Trial," and from Isaiah Berlin's conception of liberty and freedom. Considering the nuances of right and wrong, the safeguarding against harm inherent in compulsory visibility, and the imperative for robust data protection legislation, the author advocates for ethical conduct by redefining privacy as a form of property right. To uphold this right, the book proposes the licensing of personal identifiable images when appropriate. By scrutinizing American, UK, and European case law concerning privacy and confidentiality and analyzing their impact on evolving jurisprudence, the book also delves into the ethical dilemmas associated with these issues. Consequently, it serves as a valuable resource for students studying the intersections of ethics and law, professionals specializing in image rights, policymakers, and champions of civil liberties and advocacy.
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2. Face Recognition Technologies: Designing Systems that Protect Privacy and Prevent Bias
2020 by Douglas Yeung, Rebecca Balebako, Carlos Ignacio Gutierrez Gaviria, Michael Chaykowsky



The book "Face Recognition Technologies: Designing Systems that Protect Privacy and Prevent Bias" delves into the multifaceted world of face recognition technologies (FRTs), which serve various security-related purposes but have also sparked concerns among advocacy groups and individuals regarding their usage. Within its pages, the report sheds light on the paramount issues of privacy and bias associated with FRT systems. The authors introduce a heuristic framework encompassing two critical dimensions—consent status and comparison type—that aids in evaluating the privacy and accuracy levels of proposed FRT implementations. Moreover, the book underscores the significant privacy and bias-related challenges inherent in these technologies.
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3. Handbook of Face Recognition
2016 by Stan Z. Li, Anil K. Jain



The field of computer-aided face recognition has a history dating back to the 1960s, yet automating the task of recognizing faces, which humans do effortlessly in everyday life, remains a formidable challenge, particularly in uncontrolled conditions. This eagerly awaited new edition of the Handbook of Face Recognition offers a comprehensive exploration of face recognition research and technology, encompassing all aspects necessary for the development of operational face recognition systems. Following a comprehensive introductory chapter, each of the subsequent 26 chapters delves into a specific facet of the field, providing in-depth coverage of background knowledge, cutting-edge techniques, recent achievements, challenges, and future directions. Topics covered include face detection, tracking, alignment, feature extraction, and recognition technologies, alongside considerations in evaluation, system design, security, and practical applications. With a wealth of step-by-step algorithms, this handbook addresses a broad spectrum of applications, from person verification, surveillance, and security to entertainment. Featuring contributions from esteemed international experts and complemented by a plethora of supporting graphs, tables, charts, and performance data, this authoritative reference serves as an indispensable resource for researchers, professionals, and students engaged in image processing, computer vision, biometrics, security, internet technology, mobile devices, human-computer interaction, e-services, computer graphics, animation, and the gaming industry.
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4. Face Recognition in Adverse Conditions
2014 by De Marsico, Maria



Over the past few decades, facial recognition software has made remarkable strides, substantially reducing error rates in the last decade. However, challenges like inadequate lighting, obstructed views, and profile-only angles still hinder completely accurate recognition. "Face Recognition in Adverse Conditions" delves into how the realm of facial recognition addresses these adverse conditions when developing more efficient applications. It explores facial recognition in real-world scenarios with variations in pose, illumination, and expression, delving into current applications and offering insights into the future of facial recognition research. This book caters to academics, engineers, and researchers specializing in the field of facial recognition, providing valuable insights and strategies for tackling challenging conditions.
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5. Face Recognition: From Theory to Applications
2012 by Harry Wechsler, Jonathon P. Phillips, Vicki Bruce, Francoise Fogelman Soulie, Thomas S. Huang



The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications convened in Stirling, Scotland, UK, from June 23 to July 4, 1997, uniting 95 participants, including 18 esteemed invited lecturers, from 22 countries, representing academia, government, and industry worldwide. These prominent lecturers provided a comprehensive exploration of face recognition, highlighting future trends and strategies for establishing robust face recognition systems. The ASI's scientific agenda comprised invited lectures, three expert panels, and presentations, both oral and poster, by attending students. Dynamic interactions among participants led to the emergence of several central themes during the meeting: (i) the cognitive aspects of human face recognition and its relevance to forensic systems, (ii) face encoding techniques, (iii) the application of connectionist methods and support vector machines (SVM), (iv) the synergy of hybrid approaches in face recognition, and (v) the domains of predictive learning and performance assessment. The panel discussions aimed to bridge connections between lectures and underscore the meeting's key themes. The panel topics encompassed: (i) the human visual system's processing of faces, (ii) considerations in the practical application of face recognition, including databases, evaluation, and systems, and (iii) classification challenges inherent in face recognition. Additionally, student presentations provided them with a valuable opportunity to receive feedback and guidance from the invited lecturers for their future research endeavors.
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