Face Processing: Advanced Modeling and Methods - Tapa dura

Acerca del autor

Prof. Rama Chellappa received the B.E. (Hons.) degree from the University of Madras, India, in 1975 and the M.E. (Distinction) degree from Indian Institute of Science, Bangalore, in 1977. He received M.S.E.E. and Ph.D. Degrees in Electrical Engineering from Purdue University, West Lafayette, IN, in 1978 and 1981 respectively. Since 1991, he has been a Professor of Electrical Engineering and an affiliate Professor of Computer Science at University of Maryland, College Park. He is also affiliated with the Center for Automation Research (Director) and the Institute for Advanced Computer Studies (Permanent Member). In 2005, he was named a Minta Martin Professor of Engineering. Prior to joining the University of Maryland, he was an Assistant (1981-1986) and Associate Professor (1986-1991) and Director of the Signal and Image Processing Institute (1988-1990) at University of Southern California, Los Angeles.
Over the last 29 years, he has published numerous book chapters, peer-reviewed journal and conference papers. He has co-authored and edited books on MRFs, face and gait recognition and collected works on image processing and analysis. His current research interests are face and gait analysis, markerless motion capture, 3D modeling from video, image and video-based recognition and exploitation and hyper spectral processing.

De la contraportada

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.