Face Recognition

Statistical Pattern Recognition

Statistical pattern recognition is a very active area of study face recognition and research, which has seen many advances in recent years. New face recognition and emerging applications - such as data mining, web searching, multimedia data retrieval, face recognition, face recognition and cursive handwriting recognition - require robust face recognition and efficient pattern recognition techniques. Statistical decision making face recognition and estimation are regarded as fundamental to the study of pattern recognition. Statistical Pattern Recognition, Second Edition has been fully updated with new methods, applications face recognition and references. It provides a comprehensive introduction to this vibrant area - with material drawn from engineering, statistics, computer science face recognition and the social sciences - face recognition and covers many application areas, such as database design, artificial neural networks, face recognition and decision support systems. * Provides a self-contained introduction to statistical pattern recognition. * Each technique described is illustrated by real examples. * Covers Bayesian methods, neural networks, support vector machines, face recognition and unsupervised classification. * Each section concludes with a description of the applications that have been addressed face recognition and with further developments of the theory. * Includes background material on dissimilarity, parameter estimation, data, linear algebra face recognition and probability. * Features a variety of exercises, from `open-book` questions to more lengthy projects. The book is aimed primarily at senior undergraduate face recognition and graduate students studying statistical pattern recognition, pattern processing, neural networks, face recognition and data mining, in both statistics face recognition and engineering departments. It is also an excellent source of reference for technical professionals working in advanced information development environments. For further information on the techniques face recognition and applications discussed in this book please visit www.statistical-patte Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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Face Processing

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. This book 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 face recognition and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, face recognition and more. Editors Zhao face recognition and Chellappa have compiled a concise face recognition and necessary text for industrial research scientists, students, face recognition and professionals working in the area of image face recognition and signal processing. *Contributions from over 35 leading experts in face detection, recognition face recognition and image processing *Over 150 informative images with 16 images in FULL COLOR illustrate face recognition and offer insight into the most up-to-date advanced face processing methods face recognition and techniques *Extensive detail makes this a need-to-own book for all involved with image face recognition and signal processing Copyright (C) Muze Inc. 2005. For personal use only. All rights reserved.
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facerecognition

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