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Author: Gudrun Schwarzer Publisher: Hogrefe & Huber Publishing ISBN: Category : Psychology Languages : en Pages : 168
Book Description
This book draws together, for the first time, the latest scientific findings from leading international researchers on how face recognition develops. It is only in recent years that methods acceptable in experimental psychology have been developed for studying this vital and unique process. While other publications have concentrated on computer modeling and of face processing and the like, this one is unique in that it looks at fundamental (and so far unanswered) questions such as: What are the roots of and reasons for our ability to recognize faces? How much of this ability is learned and how much innate? By connecting studies on face processing in infancy with those on the development of face processing, it thus bridges the gap between face processing research and visual perceptual development. Leading researchers from USA and Europe who have conducted pioneering work in these domains describe results and anticipate future inquiry, covering topics such as fundamental cognitive abilities in infancy, development of face processing from infancy to adulthood, and the effects of expertise on face recognition.
Author: Gudrun Schwarzer Publisher: Hogrefe & Huber Publishing ISBN: Category : Psychology Languages : en Pages : 168
Book Description
This book draws together, for the first time, the latest scientific findings from leading international researchers on how face recognition develops. It is only in recent years that methods acceptable in experimental psychology have been developed for studying this vital and unique process. While other publications have concentrated on computer modeling and of face processing and the like, this one is unique in that it looks at fundamental (and so far unanswered) questions such as: What are the roots of and reasons for our ability to recognize faces? How much of this ability is learned and how much innate? By connecting studies on face processing in infancy with those on the development of face processing, it thus bridges the gap between face processing research and visual perceptual development. Leading researchers from USA and Europe who have conducted pioneering work in these domains describe results and anticipate future inquiry, covering topics such as fundamental cognitive abilities in infancy, development of face processing from infancy to adulthood, and the effects of expertise on face recognition.
Author: Wenyi Zhao Publisher: Elsevier ISBN: 0080488846 Category : Computers Languages : en Pages : 755
Book Description
Major strides have been made in face processing in the last ten years due to the fast growing need for security in various locations around the globe. A human eye can discern the details of a specific face with relative ease. It is this level of detail that researchers are striving to create with ever evolving computer technologies that will become our perfect mechanical eyes. The difficulty that confronts researchers stems from turning a 3D object into a 2D image. That subject is covered in depth from several different perspectives in this volume. Face Processing: Advanced Modeling and Methods begins with a comprehensive introductory chapter for those who are new to the field. A compendium of articles follows that is divided into three sections. The first covers basic aspects of face processing from human to computer. The second deals with face modeling from computational and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, and more. Editors Zhao and Chellappa have compiled a concise and necessary text for industrial research scientists, students, and professionals working in the area of image and signal processing. - Contributions from over 35 leading experts in face detection, recognition and image processing - Over 150 informative images with 16 images in FULL COLOR illustrate and offer insight into the most up-to-date advanced face processing methods and techniques - Extensive detail makes this a need-to-own book for all involved with image and signal processing
Author: Stan Z. Li Publisher: Springer Science & Business Media ISBN: 0857299328 Category : Computers Languages : en Pages : 694
Book Description
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.
Author: Graham Hole Publisher: Oxford University Press, USA ISBN: 0199235708 Category : Language Arts & Disciplines Languages : en Pages : 432
Book Description
'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: Nancy Kanwisher Publisher: Psychology Press ISBN: 9780863776144 Category : Medical Languages : en Pages : 312
Book Description
This special issue showcases new findings from many investigators in this field in studies that use a wide range of experimental techniques including brain imaging, ERPs, patient studies, and single-unit recording in monkeys.
Author: Olivier Pascalis Publisher: Nova Publishers ISBN: 9781590337752 Category : Psychology Languages : en Pages : 238
Book Description
This book on face perception is one of the most researched areas in infancy and early childhood, because of the enormous information that the face conveys to its viewer, both in terms of the recognition of individuals and in the expressive information that faces convey. It remains a complex area, but a number of theoretical issues have emerged which motivate much of the current research. This book describes many of these issues, and also presents some empirical research findings to illustrate the ways in which researchers carry out their investigations.
Author: Zhen Wen Publisher: Springer Science & Business Media ISBN: 1402080476 Category : Computers Languages : en Pages : 146
Book Description
3D Face Processing: Modeling, Analysis and Synthesis introduces the frontiers of 3D face processing techniques. It reviews existing 3D face processing techniques, including techniques for 3D face geometry modeling; 3D face motion modeling; and 3D face motion tracking and animation. Then it discusses a unified framework for face modeling, analysis and synthesis. In this framework, the authors present new methods for modeling complex natural facial motion, as well as face appearance variations due to illumination and subtle motion. Then the authors apply the framework to face tracking, expression recognition and face avatar for HCI interface. They conclude this book with comments on future work in the 3D face processing framework. 3D Face Processing: Modeling, Analysis and Synthesis will interest those working in face processing for intelligent human computer interaction and video surveillance. It contains a comprehensive survey on existing face processing techniques, which can serve as a reference for students and researchers. It also covers in-depth discussion on face motion analysis and synthesis algorithms, which will benefit more advanced graduate students and researchers.
Author: Andrew J. Calder Publisher: Oxford University Press ISBN: 0199559058 Category : Philosophy Languages : en Pages : 933
Book Description
In the past 30 years, face perception has become an area of major interest within psychology. This is the most comprehensive and commanding review of the field ever published.
Author: Isabel Gauthier Publisher: OUP USA ISBN: 019530960X Category : Psychology Languages : en Pages : 425
Book Description
This book explores visual object recognition and introduces a collaborative model, codified as the "Perceptual Expertise Network" (PEN). It focuses on delineating the principles of high-level visual learning that can account for how different object categories are processed and associated with spatially localized activity in the primate brain. It address questions such as how expertise develops, whether there are different kinds of experts, whether some disorders such as autism or prosopagnosia can be understood as a lack or loss of expertise, and how conceptual and perceptual information interact when experts recognize and categorize objects. The research and results that have been generated by these questions are presented here, along with other questions, background information, and extant issues that have emerged from recent studies.
Author: Vineeth Balasubramanian Publisher: Newnes ISBN: 0124017150 Category : Computers Languages : en Pages : 323
Book Description
The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited volume brings together these bodies of work, providing a springboard for further research as well as a handbook for application in real-world problems. - Understand the theoretical foundations of this important framework that can provide a reliable measure of confidence with predictions in machine learning - Be able to apply this framework to real-world problems in different machine learning settings, including classification, regression, and clustering - Learn effective ways of adapting the framework to newer problem settings, such as active learning, model selection, or change detection
Author: Gudrun Schwarzer
Author: Gudrun Schwarzer
Author: Wenyi Zhao
Author: Stan Z. Li
Author: Graham Hole
Author: Nancy Kanwisher
Author: Olivier Pascalis
Author: Zhen Wen
Author: Andrew J. Calder
Author: Isabel Gauthier
Author: Vineeth Balasubramanian