Handbook of Face Recognition
Handbook of Face Recognition

Author: Stan Z. Li

Publisher: Springer Science & Business Media

Published: 2011-08-22

Total Pages: 694

ISBN-13: 0857299328

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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.

Facial Expressions
Facial Expressions

Author: Flávia de Lima Osório

Publisher:

Published: 2019

Total Pages: 0

ISBN-13: 9781536152548

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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.

The Computer Analysis of Facial Expressions
The Computer Analysis of Facial Expressions

Author: Gordon James McIntyre

Publisher:

Published: 2010

Total Pages: 428

ISBN-13:

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Significant advances have been made in the field of computer vision in the last few years. The mathematical underpinnings have evolved in conjunction with increases in computer processing speed. Many researchers have attempted to apply these improvements to the field of Facial Expression Recognition (FER).

Machine Learning and Data Mining in Pattern Recognition
Machine Learning and Data Mining in Pattern Recognition

Author: Petra Perner

Publisher: Springer

Published: 2012-07-07

Total Pages: 680

ISBN-13: 9783642315381

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This book constitutes the refereed proceedings of the 8th International Conference, MLDM 2012, held in Berlin, Germany in July 2012. The 51 revised full papers presented were carefully reviewed and selected from 212 submissions. The topics range from theoretical topics for classification, clustering, association rule and pattern mining to specific data mining methods for the different multimedia data types such as image mining, text mining, video mining and web mining.

Artificial Intelligence Applications and Innovations
Artificial Intelligence Applications and Innovations

Author: Lazaros Iliadis

Publisher: Springer

Published: 2016-08-23

Total Pages: 0

ISBN-13: 9783662525999

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This book constitutes the refereed proceedings of the 10th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2014, held in Rhodes, Greece, in September 2014. The 33 revised full papers and 29 short papers presented were carefully reviewed and selected from numerous submissions. They are organized in the following topical sections: learning-ensemble learning; social media and mobile applications of AI; hybrid-changing environments; agent (AGE); classification pattern recognition; genetic algorithms; image and video processing; feature extraction; environmental AI; simulations and fuzzy modeling; and data mining forecasting.

Understanding Facial Expressions in Communication
Understanding Facial Expressions in Communication

Author: Manas K. Mandal

Publisher: Springer

Published: 2014-10-10

Total Pages: 292

ISBN-13: 8132219341

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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.

Handbook of Face Recognition
Handbook of Face Recognition

Author: Stan Z. Li

Publisher: Springer Science & Business Media

Published: 2005-12-06

Total Pages: 394

ISBN-13: 0387272577

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Although the history of computer-aided face recognition stretches back to the 1960s, automatic face recognition remains an unsolved problem and still offers a great challenge to computer-vision and pattern recognition researchers. This handbook is a comprehensive account of face recognition research and technology, written by a group of leading international researchers. Twelve chapters cover all the sub-areas and major components for designing operational face recognition systems. Background, modern techniques, recent results, and challenges and future directions are considered. The book is aimed at practitioners and professionals planning to work in face recognition or wanting to become familiar with the state-of- the-art technology. A comprehensive handbook, by leading research authorities, on the concepts, methods, and algorithms for automated face detection and recognition. Essential reference resource for researchers and professionals in biometric security, computer vision, and video image analysis.

Facial Analysis from Continuous Video with Applications to Human-Computer Interface
Facial Analysis from Continuous Video with Applications to Human-Computer Interface

Author: Antonio J. Colmenarez

Publisher: Springer Science & Business Media

Published: 2005-12-17

Total Pages: 150

ISBN-13: 140207803X

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Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors. This book also describes a real-time system for face and facial feature detection and tracking in continuous video. Finally, this book presents a probabilistic framework for embedded face and facial expression recognition from image sequences. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments
Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments

Author: Raj, Alex Noel Joseph

Publisher: IGI Global

Published: 2020-12-25

Total Pages: 381

ISBN-13: 1799866920

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Recent advancements in imaging techniques and image analysis has broadened the horizons for their applications in various domains. Image analysis has become an influential technique in medical image analysis, optical character recognition, geology, remote sensing, and more. However, analysis of images under constrained and unconstrained environments require efficient representation of the data and complex models for accurate interpretation and classification of data. Deep learning methods, with their hierarchical/multilayered architecture, allow the systems to learn complex mathematical models to provide improved performance in the required task. The Handbook of Research on Deep Learning-Based Image Analysis Under Constrained and Unconstrained Environments provides a critical examination of the latest advancements, developments, methods, systems, futuristic approaches, and algorithms for image analysis and addresses its challenges. Highlighting concepts, methods, and tools including convolutional neural networks, edge enhancement, image segmentation, machine learning, and image processing, the book is an essential and comprehensive reference work for engineers, academicians, researchers, and students.