[PDF] Computational Geometric And Process Perspectives On Facial Cognition eBook

Author : Michael J. Wenger
Publisher : Psychology Press
Page : 460 pages
File Size : 38,10 MB
Release : 2005-04-11
Category : Psychology
ISBN : 113566949X

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Within the last three decades, interest in the psychological experience of human faces has drawn together cognitive science researchers from diverse backgrounds. Computer scientists talk to neural scientists who draw on the work of mathematicians who explicitly influence those conducting behavioral experiments. The chapters in this volume illustrate the breadth of the research on facial perception and memory, with the emphasis being on mathematical and computational approaches. In pulling together these chapters, the editors sought to do much more than illustrate breadth. They endeavored as well to illustrate the synergies and tensions that inevitably result from adopting a broad view, one consistent with the emerging discipline of cognitive science.

Author : Sam S. Rakover
Publisher : John Benjamins Publishing
Page : 316 pages
File Size : 28,60 MB
Release : 2001-10-12
Category : Psychology
ISBN : 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)

Author : Tim Valentine
Publisher : Routledge
Page : 254 pages
File Size : 47,95 MB
Release : 2017-04-07
Category : Psychology
ISBN : 1315517000

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How can computers recognize faces? Why are caricatures of famous faces so easily recognized? Originally published in 1995, much of the previous research on face recognition had been phenomena driven. Recent empirical work together with the application of computational, mathematical and statistical techniques have provided new ways of conceptualizing the information available in faces. These advances have led researchers to suggest that many phenomena can be explained by the structure of the information available in the population(s) of faces. This broad approach has drawn together a number of apparently disparate phenomena with a common theoretical basis, including cross-race recognition; the distinctiveness of faces; the production and recognition of caricatures; and the determinants of facial attractiveness. This title provides a state of the art review of the field at the time in which the authors use a wide variety of approaches. What is common to all is that the authors base the accounts of the phenomena they study or their model of face recognition on the statistics of the information available in the population of faces. On publication this title was a comprehensive, up-to-date review of an important area of research in face recognition written by active researchers. It includes contributions from mathematics, computer science and neural network theory as well as psychology. It is aimed at research workers and postgraduate students and will be of interest to cognitive psychologists and computer scientists interested in face recognition. It will also be of interest to those working on neural network models of visual recognition, perceptual development, expertise in visual cognition as well as facial attractiveness and caricature.

Author : Graham Hole
Publisher : Oxford University Press, USA
Page : 432 pages
File Size : 30,87 MB
Release : 2010-06-17
Category : Language Arts & Disciplines
ISBN : 0199235708

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'Face Processing' seeks to answer questions such as how we recognise familiar faces, and which factors determine facial attractiveness. Drawing on a wealth of studies and research, it is an essential companion for undergraduates studying face processing as part of a psychology degree.

Author : William R. Uttal
Publisher : Psychology Press
Page : 286 pages
File Size : 28,44 MB
Release : 2014-04-04
Category : Psychology
ISBN : 1135636397

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For many years behaviorism was criticized because it rejected the study of perception. This rejection was based on the extreme view that percepts were internal subjective experiences and thus not subject to examination. This book argues that this logic is incorrect and shows how visual perception, particularized in the study of form recognition, can be carried out from the behavioral point of view if certain constraints and limitations are understood and accepted. The book discusses the idea of representation of forms, considers the major historical neural, psychological, and computational theories of form recognition, and then concludes by presenting a modern approach to the problem. In this book, William Uttal continues his critical analysis of the foundations of modern psychology. He is particularly concerned with the logical and conceptual foundations of visual perception and uses form recognition as a vehicle to rationalize the discrepancies between classic behaviorism and what we now appreciate are legitimate research areas.

Author : Catriona Havard
Publisher : Taylor & Francis
Page : 197 pages
File Size : 28,92 MB
Release : 2024-10-29
Category : Psychology
ISBN : 1040150357

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When Face Recognition Goes Wrong explores the myriad ways that humans and machines make mistakes in facial recognition. Adopting a critical stance throughout, the book explores why and how humans and machines make mistakes, covering topics including racial and gender biases, neuropsychological disorders, and widespread algorithm problems. The book features personal anecdotes alongside real-world examples to showcase the often life-changing consequences of facial recognition going wrong. These range from problems with everyday social interactions through to eyewitness identification leading to miscarriages of justice and border control passport verification. Concluding with a look to the future of facial recognition, the author asks the world’s leading experts what are the big questions that still need to be answered, and can we train humans and machines to be super recognisers? This book is a must-read for anyone interested in facial recognition, or in psychology, criminal justice and law.

Author : Andy Calder
Publisher : OUP Oxford
Page : 944 pages
File Size : 47,82 MB
Release : 2011-07-28
Category : Psychology
ISBN : 0191620904

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The human face is unique among social stimuli in conveying such a variety of different characteristics. A person's identity, sex, race, age, emotional state, focus of attention, facial speech patterns, and attractiveness are all detected and interpreted with relative ease from the face. Humans also display a surprising degree of consistency in the extent to which personality traits, such as trustworthiness and likeability, are attributed to faces. In the past thirty years, face perception has become an area of major interest within psychology, with a rapidly expanding research base. Yet until now, there has been no comprehensive reference work bringing together this ever growing body of research. The Oxford Handbook of Face Perception is the most comprehensive and commanding review of the field ever published. It looks at the functional and neural mechanisms underlying the perception, representation, and interpretation of facial characteristics, such as identity, expression, eye gaze, attractiveness, personality, and race. It examines the development of these processes, their neural correlates in both human and non-human primates, congenital and acquired disorders resulting from their breakdown, and the theoretical and computational frameworks for their underlying mechanisms. With chapters by an international team of leading authorities from the brain sciences, the book is a landmark publication on face perception. For anyone looking for the definitive text on this burgeoning field, this is the essential book.

Author : Bir Bhanu
Publisher : Springer
Page : 329 pages
File Size : 25,58 MB
Release : 2017-08-01
Category : Computers
ISBN : 3319616579

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This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined. Topics and features: addresses the application of deep learning to enhance the performance of biometrics identification across a wide range of different biometrics modalities; revisits deep learning for face biometrics, offering insights from neuroimaging, and provides comparison with popular CNN-based architectures for face recognition; examines deep learning for state-of-the-art latent fingerprint and finger-vein recognition, as well as iris recognition; discusses deep learning for soft biometrics, including approaches for gesture-based identification, gender classification, and tattoo recognition; investigates deep learning for biometrics security, covering biometrics template protection methods, and liveness detection to protect against fake biometrics samples; presents contributions from a global selection of pre-eminent experts in the field representing academia, industry and government laboratories. Providing both an accessible introduction to the practical applications of deep learning in biometrics, and a comprehensive coverage of the entire spectrum of biometric modalities, this authoritative volume will be of great interest to all researchers, practitioners and students involved in related areas of computer vision, pattern recognition and machine learning.

Author : N. V. Boulgouris
Publisher : John Wiley & Sons
Page : 763 pages
File Size : 42,66 MB
Release : 2009-10-29
Category : Computers
ISBN : 0470522348

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Edited by a panel of experts, this book fills a gap in the existing literature by comprehensively covering system, processing, and application aspects of biometrics, based on a wide variety of biometric traits. The book provides an extensive survey of biometrics theory, methods,and applications, making it an indispensable source of information for researchers, security experts, policy makers, engineers, practitioners, and graduate students. The book's wide and in-depth coverage of biometrics enables readers to build a strong, fundamental understanding of theory and methods, and provides a foundation for solutions to many of today’s most interesting and challenging biometric problems. Biometric traits covered: Face, Fingerprint, Iris, Gait, Hand Geometry, Signature, Electrocardiogram (ECG), Electroencephalogram (EEG), physiological biometrics. Theory, Methods and Applications covered: Multilinear Discriminant Analysis, Neural Networks for biometrics, classifier design, biometric fusion, Event-Related Potentials, person-specific characteristic feature selection, image and video-based face, recognition/verification, near-infrared face recognition, elastic graph matching, super-resolution of facial images, multimodal solutions, 3D approaches to biometrics, facial aging models for recognition, information theory approaches to biometrics, biologically-inspired methods, biometric encryption, decision-making support in biometric systems, privacy in biometrics.

Author : Joseph Houpt
Publisher : Psychology Press
Page : 285 pages
File Size : 25,48 MB
Release : 2016-05-20
Category : Psychology
ISBN : 1317297520

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In this two volume festschrift, contributors explore the theoretical developments (Volume I) and applications (Volume II) in traditional cognitive psychology domains, and model other areas of human performance that benefit from rigorous mathematical approaches. It brings together former classmates, students and colleagues of Dr. James T. Townsend, a pioneering researcher in the field since the early 1960s, to provide a current overview of mathematical modeling in psychology. Townsend’s research critically emphasized a need for rigor in the practice of cognitive modeling, and for providing mathematical definition and structure to ill-defined psychological topics. The research captured demonstrates how the interplay of theory and application, bridged by rigorous mathematics, can move cognitive modeling forward.