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Each of us is able to recognise the faces of many hundreds if not thousands of people known to us. We recognise faces despite seeing them in different views and with changing expressions. From these varying patterns we somehow extract the invariant characteristics of an individual’s face, and usually remember why a face seems familiar, recalling where we know the person from and what they are called. In this book, originally published in 1988, the author describes the progress which has been made by psychologists towards understanding these perceptual and cognitive processes, and points to theoretical directions which may prove important in the future. Though emphasising theory, the book also addresses practical problems of eyewitness testimony, and discusses the relationship between recognising faces, and other aspects of face processing such as perceiving expressions and lipreading. The book was aimed primarily at a research audience, but would also interest advanced undergraduate students in vision and cognition.
Cover -- Half Title -- Title -- Copyright -- Original Title -- Original Copyright -- Dedication -- Contents -- 1 Introduction to Problems of Face Recognition -- Recognising your Friends -- Remembering the Faces of Strangers -- Problems with Identification Parades -- Facts about Face Recognition Memory -- Techniques for Face Reconstruction -- The Rationale and Plan of this Book -- 2 Affective and Communicative Aspects of Face Perception -- Expression Perception -- Facial Speech -- Facial Appearance and Social Attributions -- The Relationship Between Affective Processing and Identification of Faces -- Implications -- 3 Faces as Patterns -- Are Faces Processed as Features or Configurations? -- Differential Salience of Different Facial Features -- Spatial Frequency Analysis and Face Perception -- Caricature -- Distinctiveness -- 4 Semantic Coding of Faces -- Context Effects in Face Recognition Memory -- Levels of Processing -- Encoding Activity and Context Effects -- Theoretical Accounts of the Access of Identity-specific Semantic Information -- Problems for the Bruce and Young Model -- 5 Remembering Instances -- Headed Records -- Evidence for Instances -- Distributed Memory Models -- Instance-based Models of Face Recognition -- Implications -- Macrostructure and Microstructure -- 6 Towards a Computational Theory of Face Perception -- Marr's Theoretical Framework -- Faces as Shapes -- Representations for Recognition -- Conclusions and Implications -- References -- Author Index -- Subject Index
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.
A fascinating history of how we recognize faces—or fail to recognize them. In Do I Know You? Sharrona Pearl explores the fascinating category of face recognition and the "the face recognition spectrum," which ranges from face blindness at one end to super recognition at the other. Super recognizers can recall faces from only the briefest exposure, while face blind people lack the capacity to recognize faces at all, including those of their closest loved ones. Informed by archival research, the latest neurological studies, and testimonials from people at both ends of the spectrum, Pearl tells a nuanced story of how we relate to each other through our faces. The category of face recognition is relatively new despite the importance of faces in how we build relationships and understand our own humanity. Pearl shows how this most tacit of knowledge came to enter the scientific and diagnostic field despite difficulties with identifying it. She offers a grounded framework for how we evaluate others and draw conclusions about them, with significant implications for race, gender, class, and disability. Pearl explores the shifting ideas around the face-recognition spectrum, explaining the effects of these diagnoses on real people alongside implications for how facial recognition is studied and understood. Face blindness is framed as a disability, while super recognition is framed as a superpower with no meaningful disadvantages. This superhero rhetoric is tied to the use of super recognizers in criminal detection, prosecution, and other forms of state surveillance. Do I Know You? demonstrates a humanistic approach to the study of the brain, one that offers an entirely new method for examining this fundamental aspect of human interaction. The combination of personal narratives, scientific and medical research, and high-profile advocates like Oliver Sacks helped to establish face recognition as a category and a spectrum in both diagnostic and experiential realms. Building on an interdisciplinary foundation that includes the history of medicine, science, and technology, disability studies, media and communication, artificial intelligence ethics, and the health humanities, Pearl challenges the binary nature of spectrum thinking in general and provides a fascinating case study in the treatment of this new scientific category.
Annotation In 1997, Rakover (U. of Haifa) and Cahlon (Oakland U, Michigan) won an award from the Minister of Internal Security of the State of Israel for developing the Catch model for face recognition. Since then they have proposed the law of Face Recognition by Similarity. Here they describe the computer and mathematical research they have conducted and some of their results. Annotation c. Book News, Inc., Portland, OR (booknews.com).
The processes by which we recognise - or fail to recognise - another face have a perennial fascination for laymen and scientists alike. However, it is only in recent years that the problem has received systematic study by experimental psychologists. This book brings together such new information for the first time, in the form of a set of review articles, each written by a leading researcher in the field. Contributions have been grouped into those where the primary emphasis is upon theory and those where the major concern is with applied problems. Among the issues encompassed by the theory section are: face recognition in infants and children; disturbance associated with brain damage; social and racial aspects; the perception of emotion in the face and the significance of different physiognomic areas in mediating recognition. The relationship of face recognition, both to other memory processes and to information processing in general, is also extensively covered. In the applied section, areas considered include: psycho-legal aspects of identification with special reference to parades or 'line-ups'; studies of recall tools like 'Identikit' and 'Photofit'; the computerised identification and retrieval of facial images, and the effectiveness of training procedures designed to improve facial memory. Perceiving and Remembering Faces is invaluable to psychologists, whether academics working in higher education or applied practitioners such as clinical psychologists. The emphasis on practical as well as theoretical issues; however, ensures that the book is also of considerable interest to lawyers, criminologists and law enforcement specialists, or indeed to anyone whose work brings them into contact with that central enigma of all human perception and communication: the human face.
Filled with breakthrough research, the book explains how to identify the facial expression of basic emotions and how to tell when people try to mask, simulate or neutralize their expression. Features practical exercises to help build skills.
This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence. Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).
Focusing on disorders, Bate unravels the mysteries and intricacies of facial processing from a new perspective, covering cognitive, developmental and clinical issues. Written in an engaging style and encompassing a wealth of detail, this is a must-read for both students and researchers interested in facial recognition.