Face Processing: Advanced Modeling and Methods - Tapa dura

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.

Face Processing: Advanced Modeling and Methods 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

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.

|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.