Facial Expression Recognition

In the World Library of Psychologists series, international experts themselves present career-long collections of what they judge to be their finest pieces - extracts from books, key articles, salient research findings, and their major theoretical and practical contributions. This volume of self-selected papers recognises Andy Young’s major contribution to the study of face perception, for which he received the BPS Lifetime Achievement Award in 2013. Focusing on his work in facial expression recognition, a specially written introduction gives an overview of his work and contextualises the selection in relation to developments in the field during this time. Divided into five distinct sections, the book covers work on both theoretical and experimental approaches to facial expression recognition, neuropsychology, functional brain imaging, and applications of research. This book will be of great interest to students and researchers of cognitive psychology or neuropsychology interested in face perception. It will also appeal to those with an interest in the highly varied applications of the research and provide insight into a number of clinical disorders.

This book brings together contributions from different researchers on the theme of facial expressions, with an emphasis on emotional expressions, which may be of interest to professionals in neuroscience, technology and psychopathology. The reader will find theoretical reviews and experimental studies, with different focuses, among them: instruments of measures for use with adults, adolescents and children; training programs to develop emotional competence in children with emotional and behavioral problems, neural and psychophysical aspects associated with the recognition of facial expressions of emotion; emotional contagions, and studies on positive first impressions. Clinical researchers who wish to learn more about and / or update themselves on the subject will benefit from this text.

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.

This book discusses human emotion recognition from face images using different modalities, highlighting key topics in facial expression recognition, such as the grid formation, distance signature, shape signature, texture signature, feature selection, classifier design, and the combination of signatures to improve emotion recognition. The book explains how six basic human emotions can be recognized in various face images of the same person, as well as those available from benchmark face image databases like CK+, JAFFE, MMI, and MUG. The authors present the concept of signatures for different characteristics such as distance and shape texture, and describe the use of associated stability indices as features, supplementing the feature set with statistical parameters such as range, skewedness, kurtosis, and entropy. In addition, they demonstrate that experiments with such feature choices offer impressive results, and that performance can be further improved by combining the signatures rather than using them individually. There is an increasing demand for emotion recognition in diverse fields, including psychotherapy, biomedicine, and security in government, public and private agencies. This book offers a valuable resource for researchers working in these areas.

This book constitutes the thoroughly refereed conference proceedings of the International Workshop on Face and Facial Expression Recognition from Real World Videos in conjunction with the 22nd International Conference on Pattern Recognition held in Stockholm, Sweden, in August 2014. The 11 revised full papers were carefully reviewed and selected from numerous submissions and cover topics such as Face Recognition, Face Alignment, Facial Expression Recognition and Facial Images.

This edited volume contains a selection of refereed and revised papers originally presented at the International Symposium on Signal Processing and Intelligent Recognition Systems (SIRS-2014), March 13-15, 2014, Trivandrum, India. The program committee received 134 submissions from 11 countries. Each paper was peer reviewed by at least three or more independent referees of the program committee and the 52 papers were finally selected. The papers offer stimulating insights into Pattern Recognition, Machine Learning and Knowledge-Based Systems; Signal and Speech Processing; Image and Video Processing; Mobile Computing and Applications and Computer Vision. The book is directed to the researchers and scientists engaged in various field of signal processing and related areas.

This important volume provides a holistic understanding of the cultural, psychological, neurological and biological elements involved in human facial expressions and of computational models in the analyses of expressions. It includes methodological and technical discussions by leading scholars across the world on the subject. Automated and manual analysis of facial expressions, involving cultural, gender, age and other variables, is a growing and important area of research with important implications for cross-cultural interaction and communication of emotion, including security and clinical studies. This volume also provides a broad framework for the understanding of facial expressions of emotion with inputs drawn from the behavioural sciences, computational sciences and neurosciences.

This book constitutes the proceedings of the Third Workshop on Video Analytics for Audience Measurement, VAAM 2016, and the Second International Workshop on Face and Facial Expression Recognition from Real World Videos, FFER 2016, held at the 23rd International Conference on Pattern Recognition, ICPR 2016, in Cancun, Mexico, in December 2016. The 11 papers presented in this volume were carefully reviewed and selected from 13 submissions. They deal with: re-identification; consumer behavior analysis; utilizing pupillary response for task difficulty measurement; logo detection; saliency prediction; classification of facial expressions; face recognition; face verification; age estimation; super resolution; pose estimation; and pain recognition.