Face Processing: Advanced Modeling and Methods [Hardcover]

Wenyi Zhao (Editor), Rama Chellappa (Editor)

Book Description

ISBN-10: 0120884526 | ISBN-13: 978-0120884520 | Publication Date: October 15, 2005 | Edition: 1

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 and physiological points of view. The third tackles the advanced methods, which include illumination, pose, expression, and more. Editors Zhao and Chellappa have compiled a concise and necessary text for industrial research scientists, students, and professionals working in the area of image and signal processing.

*Contributions from over 35 leading experts in face detection, recognition and image processing
*Over 150 informative images with 16 images in FULL COLOR illustrate and offer insight into the most up-to-date advanced face processing methods and techniques
*Extensive detail makes this a need-to-own book for all involved with image and signal processing

Editorial Reviews

Book Description

Computer face recognition technology is essential as new security concerns surface and this volume offers the latest developments!

From the Back Cover

Major strides have been made in face processing in the last ten years due to the availability of capable technologies. Editors Wenyi Zhao and Rama Chellappa have assembled over thirty-five leading experts in image processing, pattern recognition, neural network and learning, computer vision, graphics and psychology to create a compendium on current face processing methods, techniques, and applications.

Presented in three sections, this reference covers the entire spectrum of face processing from face detection to feature extraction to recognition. The first section covers the basic aspects of face processing from human to computer. The second discusses face modeling from computational and physiological points of view. The third tackles the advanced methods including robust methods that handle illumination, pose and expression and industrial applications. The extensive detail provided by the contributors of this volume makes this a need-to-own book for anyone in the industry or academia involved in image processing.

KEY FEATURES
*All types of processing examined including detection, tracking, modeling, analysis and synthesis
*Essential to technology involving smart cards, internet access, security, and video game design
*Guided tour and surveys of eigenfaces, statistical evaluation of face recognition, and 3D face modeling
*Over 150 educational and informative images illustrating face processing in action

Wenyi Zhao received a doctoral degree in Electrical Engineering in 2000from the University of Maryland. His Ph.D. research was focused on robust face recognition. He studied electronic engineering with focus on image processing hardware at Tsinghua University, Beijing for his B.E. degree in 1990; electrical engineering with focus on computer vision applications at University of Virginia for his M.S. degree in 1995. He joined the Vision Technologies Laboratory of Sarnoff Corporation in 2000. He has contributed more than 35 book chapters, peer-reviewed journal and conference articles. He is a recipient of the best industry related paper award at the 17th International Conference on Pattern Recognition, 2004.

Rama Chellappa received the B.E. (Hons.) degree from the University of Madras, India, in 1975 and the M.E. (Distinction) degree from the Indian Institute of Science, Bangalore, in 1977. He received the M.S.E.E. and Ph.D. Degrees in electrical engineering from Purdue University, West Lafayette, IN, in 1978 and 1981 respectively. He is a professor of Electrical and Computer Engineering and an Affliate Professor of Computer Science. Recently, he has been named the Minta Martin Professor of Engineering in the Clark School of Engineering. He is also affiliated with the Center for Automation Research (Director) and the Institute for Advanced Computer Studies (Permanent member). He is a fellow of IEEE and IAPR. Dr. Chellappa has served as an associate editor of the IEEE Transactions on Signal Processing, Pattern Analysis and Machine Intelligence, Image Processing, and Neural Networks. He was co-Editor-in-Chief of Graphical models and Image Processing. He was Editor-in-Chief of IEEE Transactions on Pattern Analysis and Machine Intelligence during 2001 to 2004.

Product Details

• Hardcover: 768 pages
• Publisher: Academic Press; 1 edition (October 15, 2005)
• Language: English
• ISBN-10: 0120884526
• ISBN-13: 978-0120884520
• Product Dimensions: 8.6 x 6.3 x 1.5 inches
• Shipping Weight: 3 pounds (View shipping rates and policies)
• Average Customer Review: 5.0 out of 5 stars  See all reviews (1 customer review)
• Amazon Best Sellers Rank: #2,075,802 in Books (See Top 100 in Books)

Customer Reviews

Most Helpful Customer Reviews

5 of 11 people found the following review helpful:

5.0 out of 5 stars Look at the eigenfaces!, March 31, 2006

By 

W Boudville (Terra, Sol 3) - See all my reviews
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This review is from: Face Processing: Advanced Modeling and Methods (Hardcover)

Evolution gives us a profound and hardwired ability to recognise others of our own species. A fundamental trait vital to any species which has eyes. This also has had the effect of making effective face recognition a very hard task for computers. Which has not deterred many researchers from tackling the problem.

This book is a timely summary of our current understanding. Each chapter has a bulky list of references that will aid researchers. Along with many photos and diagrams that illustrate the various algorithms. The editors have also thoughtfully provided a central selection of colour plates for enhanced viewing. The illustrations in the rest of the text are in black and white.

The maths in various methods is impressive. As in convoluting for general materials. Or the key concept of an eigenface. So important is this that it is covered early, in the entirety of chapter 2. The term is a natural extension of eigenvalue and eigenvector, used in linear algebra and differential systems. Suffice it to say that you should already be fluent in the latter, otherwise much of this book will be meaningless.