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Datta A.K., Datta M., Banerjee P.K. Face Detection and Recognition. Theory and Practice

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Datta A.K., Datta M., Banerjee P.K. Face Detection and Recognition. Theory and Practice
CRC Press, 2016. — 350 p.
Face detection and recognition represent nonintrusive methods for recognizing people, and these are the biometrics of choice in many security applications. Face detection and recognition are some remarkable and important abilities that we use in our daily lives. The main reason for the interest in developing the computer vision-based automated technologies of automated face recognition arises from the serious concerns for public security in today's networked world, where identity veri_cations for physical and logical access in many facilities are imperative in daily life. Though the first widely accepted algorithm during the 1970s was the eigenface method, which even today is used as a base for many methods, the real impetus came along with the development of computational power and algorithms related to the use of large databases. Therefore, face detection and recognition are still actively researched areas. Many problems related to unconstrained and real-life and real-time environments are yet to be solved to the level of required robustness and accuracy.
The goal of this book is to provide the reader with a description of some available techniques for automated face detection and recognition and is intended for anyone who plans to work in these areas and also for those who want to become familiar with the state-of-the-art techniques. This book is written with two primary motivations. The first is to compile major approaches, algorithms and technologies available for automated face detection and recognition. The second reason is to provide a reference for students, researchers and practitioners working in the areas of image processing, computer vision, biometrics and security, computer graphics and animation. The materials contained in the book support the quest and need for an advanced tutorial, state-of-the-art survey of current technologies and a comprehensive list of major references. Each chapter focuses on a specific topic or system with an introduction to background information, reviews and also some results on typical systems. The usefulness of the book for students and researchers is enhanced by the inclusion of many programs in easily available software.
It may be noted that the evolution of techniques for face detection, recognition and identification is now merging using different available methods of pattern recognition. Therefore it may not be very prudent to maintain individual identity of separate areas. Instead the identities may be merged and may be termed under the general terminology of face recognition. This book is also an attempt in the direction of unification.
Introduction
Face detection and recognition techniques
Subspace-based face recognition
Face detection by Bayesian approach
Face detection in color and infrared images
Intelligent face detection
Real-time face detection
Face space boundary selection for face detection and recognition
Evolutionary design for face recognition
Frequency domain correlation filters in face recognition
Subspace-based face recognition in frequency domain
Landmark localization for face recognition
Two-dimensional synthetic face generation using set estimation
Datasets of face images for face recognition systems
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