Reliable Face Recognition Methods: System Design, Implementation and Evaluation [Paperback]

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From the reviews: "...Overall this is a very beneficial book in a area of increasing importance."  Journal from the Royal Statistical Society "I find Statistical Methods in Molecular Evolution very interesting and useful. It delves into problems that have been considered very difficult just a long period ago...the book is more likely to stimulate the eye of statisticians which are unaware with this exciting field of applications. It is my hope who's will also help the 'wet lab' molecular evolutionist to raised understand mathematical and statistical methods." Marek Kimmel to the Journal in the American Statistical Association, September 2006 "Who should look at this book? We claim that anyone who handles molecular data (who does not?) and anyone who asks evolutionary questions (who should not?) ought to consult the relevant chapters in this book." Dan Graur and Dror Berel for Biometrics, September 2006 "Coalescence theory facilitates the merger of population genetics theory with phylogenetic approaches, but still, there are mainly two camps: phylogeneticists and population geneticists. Only several everyone is moving freely between them. Rasmus Nielsen is obviously among these researchers, and his work thus far has merged many population genetic and phylogenetic aspects of biological research beneath the umbrella of molecular evolution. Although Nielsen did not contribute an instalment to his book, his work permeates all its chapters. This book gives an breakdown of his interests and current achievements in molecular evolution. In short, this book ought to be in your bookshelf." Peter Beerli for Evolution, 60(2), 2006 "This book has managed an infrequent thing: to become over the sum of their parts. It provides an introduction to your lot with the most exciting research going on in molecular evolution, describing it from different perspectives and providing readers which has a step to explore different factors of the literature. … Statistical Methods in Molecular Evolution is really a strong book … and yes it should rank highly on Systematic Biology readers’ ‘to buy’ lists." (Simon Whelan, Systematic Biology, Vol. 55 (4), 2006) "The past few decades have seen a vigorous development … inside the field of molecular evolution. … the quantity of publications in journals at the interface of evolution, genetics, bioinformatics, statistics and probability is steadily increasing. A text which presents a survey in this very interface is therefore highly welcome. … I prefer the ebook and recommend it warmly. … The book is often a quite lucid and timely survey about probabilistic models and statistical methods in the fascinating field of contemporary biology." (Anton Wakolbinger, Metrika, Vol. 64, 2006) "This book provides an overview from the statistical theory and techniques utilized in studies of molecular evolution. … The chapters are written from the leaders within the field and definately will go ahead and take reader from basic introductory material on the state-of-the-art statistical methods. This book is ideal for statisticians seeking to learn much more about applications in molecular evolution and molecular evolutionary biologists … . the ebook should be accessible for most biology graduate students … ." (T. Postelnicu, Zentralblatt MATH, Vol. 1093 (19), 2006) --This text refers to an alternate Paperback edition.

One from the grand challenges for computational intelligence and biometrics is to be aware of how people process and recognize faces and also to develop automated and reliable face recognition systems. Biometrics is becoming the major component within the complex decision making process connected with security applications. The face detection and authentication challenges addressed include cluttered environments, image variability, occlusion and disguise, and temporal changes all within open set recognition. Reliable Face Recognition Methods: System Design, Implementation and Evaluation comprehensively explores the eye recognition problem while drawing inspiration from complementary disciplines like neurosciences, statistics, signal and image processing, computer vision, and machine learning and pattern recognition.   This book also examines the evolution of face recognition research and explores promising new avenues for research and development. Reliable Face Recognition Methods: System Design, Implementation and Evaluation benefits graduate-level students, researchers, and practitioners, at the identical time as government and industry decision makers inside the security arena. Ruud Bolle (IBM): "Harry Wechsler’s monograph offers a thorough, up-to-date, and in-depth overview with the many advances inside the part of face recognition. …gives a fantastic overview with the issues associated with security and privacy when it comes to automated biometrics. In summary, this book gets the potential to become a classic. Harry Wechsler is to be commended for undertaking the monumental task of writing this book." John Daugman (Cambridge University, UK): "The book looks excellent. The topic is timely, and also the perspective—multi-disciplinary, measured, and objective – is a lot needed and welcome. I really believe that Wechsler's latest book will create a valued contribution for this important field and definately will turn into a standard." David Zhang (Hong Kong Polytechnic University, China): "From something view, this book shows an excellent arrangement, from data collection to handle recognition, also as system performance evaluation and error analysis. This book can serve both as a possible interdisciplinary text along with a research reference. Each chapter provides the background and impetus for understanding the issues discussed." Stan Li (Chinese Academy of Sciences, China): "The book treats the subject of face recognition in a fairly systematic way. The book covers most relevant topics in face recognition, in a well organized way. The information can also be ideal for experts. The manuscript is simple to read." Tom Huang (University of Illinois, USA): "Harry Wechsler is without a doubt one in the leading authorities in face recognition and related topics. We have recently seen a number of excellent edited books on Face Recognition. However, Wechsler's book will be the first unified treatment of this important subject. In my opinion, Wechsler is considered one of only a number of people in the world who could write such a comprehensive, unified, informative, perceptive, and authoritative book on Face Recognition. Harry Wechsler so far, is the only one of this handful who took time as well as to realize this kind of project. The book certainly will possess a great positive impact for the biometrics research community. But also, since it looks at Face Recognition from different perspectives, it is planning to be welcomed by non-experts."