Handbook of Face Recognition [Hardcover]

Stan Z. Li (Editor), Anil K. Jain (Editor)

Book Description

Publication Date: March 15, 2005 | ISBN-10: 038740595X | ISBN-13: 978-0387405957 | Edition: 1

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.

Editorial Reviews

Review

From the reviews: "This book describes recent research in areas of interest to face recognition researchers. … The authors give readers an in-depth overview of the history of face recognition and compare various approaches … . The book covers all major components and subareas of designing operational face recognition systems. … I highly recommend this book to anyone interested in learning more about the field of face recognition. … you will gain some interesting insight into the history and the very latest in face recognition research." (Markus Burki, Computing Reviews, April, 2006)

From the Back Cover

Increased interest in face recognition stems from rising public concern for safety, the need for identity verification in the digital world, and the need for face analysis and modeling techniques in multimedia data management and computer entertainment. This authoritative handbook is the first to provide complete coverage of face recognition, including major established approaches, algorithms, systems, databases, evaluation methods, and applications. After a thorough introductory chapter from the editors, 15 chapters address the sub-areas and major components necessary for designing operational face recognition systems. Each chapter focuses on a specific topic, reviewing background information, reviewing up-to-date techniques, presenting results, and offering challenges and future directions. Features & Benefits: *Provides comprehensive coverage of the main concepts, including face detection, tracking, alignment, feature extraction, and recognition *Presents state-of-the-art methods and algorithms for designing face image-processing and recognition systems *Examines design of secure, accurate, and reliable face recognition systems *Describes performance evaluation methods and major applications, such as security, person verification, Internet communication, and computer entertainment *Integrates numerous supporting graphs, tables, charts, and performance data This accessible, practical reference is an essential resource for scientists and engineers, practitioners, government officials, and students planning to work in image processing, computer vision, biometrics and security, Internet communications, computer graphics, animation, and the computer game industry. Stan Z. Li leads research programs in face detection and recognition, biometrics, and surveillance at Microsoft and is a senior member of the IEEE. Anil K. Jain is university-distinguished professor in the department of computer science and engineering at Michigan State University, as well as a fellow of the ACM, IEEE, and IAPR.   Key Topics: Face detection, tracking, and alignment Performance evaluation Subspace analysis methods Illumination and pose modeling Morphable models of faces Facial skin-color modeling Face expression analysis and synthesis Psychological and neural perspectives       -- Security / Pattern Recognition -- Intermediate / Advanced

Product Details

• Hardcover: 408 pages
• Publisher: Springer; 1 edition (March 15, 2005)
• Language: English
• ISBN-10: 038740595X
• ISBN-13: 978-0387405957
• Product Dimensions: 9.6 x 7 x 0.9 inches
• Shipping Weight: 2 pounds (View shipping rates and policies)
• Average Customer Review: 3.0 out of 5 stars  See all reviews (6 customer reviews)
• Amazon Best Sellers Rank: #596,392 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

10 of 11 people found the following review helpful:

5.0 out of 5 stars Definitive guide for face recognition systems, December 9, 2005

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calvinnme - See all my reviews
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This review is from: Handbook of Face Recognition (Hardcover)

This book contains math and pattern recognition concepts that are not for the faint of heart. However, given that you have some background in pattern recognition and computer vision this book is an invaluable resource for face detection and recognition algorithms and technologies.
Chapter one is a fast paced introduction and goes over face recognition processing from the standpoint of analysis in "face subspaces" along with the technical challenges and solutions that are current.
Chapters two through twelve are all about the many algorithms needed for face recognition and the considerations behind them. First the book tackles how to detect human faces within images. Next the issues of modeling face shape and appearance and tracking faces are explored. Examples of tracker implementations are given. The next few chapters deal with varying conditions and face recognition such as illumination modeling and facial skin color. Chapter seven is a lengthy one on face recognition in subspaces which includes the famous eigenfaces, tensorfaces, and fisherfaces methods. Chapter eight deals with the real-world problem of face tracking and recognition from video and how one does the simultaneous tracking and recognition which is necessary when dealing with video. Chapter 9 is about face recognition in the presence of changing pose and illumination. The concepts of and solutions for normalizing for illumination differences and of modeling pose and illumination are presented. Chapters 10 and 11 round out the algorithmic portion of the book and talk about the more advanced topics of morphable models of faces and facial expression analysis. The math here is quite advanced especially on the topic of morphable models. Chapter 12 is a very short chapter about face synthesis, and seems to be a review of the previous ten chapters on face recognition algorithms along with some new material.
Chapter 13 goes on to the much less mathematical topic of face databases.The various databases of face recognition, detection, and expression analysis are listed and discussed. Chapters 14, 15, and 16 are very accessible and can be understood by both practitioners and by managers wishing to investigate the larger less technical issues of face recogniton. These three chapters are about performance evaluation, psychological and neural perspectives, and face recognition applications respectively.
I would highly recommend this book to individuals who are interested in the implementation of facial recognition systems. Even though it is an edited volume written by a variety of specialists in the field, it has the well-composed feel of a book written by a single author and moves smoothly from one topic to another. You will probably need to supplement your reading if you are trying to design an entire system from scratch, but many of the algorithms needed are detailed in this book. Also, there is an outstanding bibliography for further investigation of various subjects. I have found that a good supplement to the facial expression analysis and the MPEG-4 sections of this book is "MPEG-4 Facial Animation: The Standard, Implementation and Applications" by Pandzic & Forchheimer. It goes into great detail on subjects for which there is simply no practical amount of space in this book.

3 of 3 people found the following review helpful:

2.0 out of 5 stars A huge stack of references, July 14, 2009

By 

Okur Yazar "Yengec" (Istanbul, Turkey) - See all my reviews

This review is from: Handbook of Face Recognition (Hardcover)

If you wish to have a useless book with 16 chapters with approximately 50 references per chapter to difficult academic papers (finding these papers is another big problem), with an accompanying text that guide you through these with a lot of photos; than you can buy this one. No mathematical guidence, no backgrounds, no introductory chapters. Just filled with from heaven send formulas, and references. such a complex subject is packed with a 395 pages and named as "handbook". You can't learn anything with this one. One star for photos, and one star for the very superficial text accompanying the huge list of references.

2 of 2 people found the following review helpful:

4.0 out of 5 stars Condensed information, February 15, 2008

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Lynellen Perry "lynellenDOTcom" (Dumfries, VA USA) - See all my reviews
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Amazon Verified Purchase

This review is from: Handbook of Face Recognition (Hardcover)

One could probably gleen all the information here by reading a couple of dozen conference proceedings and journal articles, but one of the values of this book is that the information is condensed together into one volume. While some math and algorithms are given, most processes are simply described in general terms so the practitioner may still need to go dig up the referenced articles but at least you'll know where to start digging.

The Internet is constantly changing, so some of the URLs given for image databases in Chapter 13 have already changed. In addition, that chapter fails to mention that not all databases are free and most of them have very restrictive usage licenses that must be agreed to.

Overall I found this text to be a good overview or literature review of recent developments in the technologies of face detection, skin color modeling, face tracking, face modeling, facial expression analysis, and face recognition. As time goes by it will be less and less useful as technology moves forward but for now it is a good starting place for those interested in the field of study.