Face Processing: Advanced Modeling and Methods
Published on 9. January 2006
Book
Hardback
768 pages
978-0-12-088452-0 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Researchers, students and professors in signal/image processing, computer vision, pattern recognition, machine learning, computer graphics, psychology, and neuroscience
Illustrations
Approx. 300 illustrations
Dimensions
Height: 229 mm
Width: 152 mm
Weight
1290 gr
ISBN-13
978-0-12-088452-0 (9780120884520)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Persons
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.
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.
Content
PrefacePART I: THE BASICSChapter 1: A Guided Tour for Face ProcessingChapter 2: Eigenface and BeyondChapter 3: Statistical Evaluation of Face Recognition SystemsPART II: FACE MODELINGChapter 4: 3D Morphable Face Model: A Unified Approach for Analysis and Synthesis of ImagesChapter 5: Expression-Invariant Three-Dimensional Face RecognitionChapter 6: 3D Face Modeling from Monocular Video SequencesChapter 7: Face Modeling by Information MaximizationChapter 8: Face Recognition by HumanChapter 9: Predicting Face Recognition Success for HumansChapter 10: Distributed Representation of Faces and ObjectsPART III: ADVANCED METHODSChapter 11: On the Effect of Illumination and Face RecognitionChapter 12: Modeling Illumination Variation with Spherical HarmonicsChapter 13: Multi-Subregion Based Probabilistic Approach Toward Pose-Invariant Face Recognition Chapter 14:Morphable Models for Training a Component-Based Face Recognition SystemChapter 15: Model-Based Face Modeling and Tracking with Application to Video ConferencingChapter 16: 3D and MultiModal 3D & 2D Face RecognitionChapter 17: Beyond One Still Image: Face Recognition from multiple Still Images or Video SequenceChapter 18: Subset Modeling of Face Localization Error, Occlusion and ExpressionChapter 19: Real-Time Robust Face and Facial Features Detection with Information-Based Maximum DiscriminationChapter 20: Current Landscape of Thermal Infrared Face RecognitionChapter 21: Multimodal Biometrics: Augmenting Face with Other Cues