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OverviewMajor 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. Full Product DetailsAuthor: Wenyi Zhao (Editor<br>Sarnoff Corporation, Princeton, NJ, USA) , Rama Chellappa (University of Maryland, College Park, MD, USA)Publisher: Elsevier Science Publishing Co Inc Imprint: Academic Press Inc Dimensions: Width: 15.20cm , Height: 3.70cm , Length: 22.90cm Weight: 1.290kg ISBN: 9780120884520ISBN 10: 0120884526 Pages: 768 Publication Date: 09 January 2006 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Out of Print Availability: Out of stock ![]() Table of ContentsPreface PART I: THE BASICS Chapter 1: A Guided Tour for Face Processing Chapter 2: Eigenface and Beyond Chapter 3: Statistical Evaluation of Face Recognition Systems PART II: FACE MODELING Chapter 4: 3D Morphable Face Model: A Unified Approach for Analysis and Synthesis of Images Chapter 5: Expression-Invariant Three-Dimensional Face Recognition Chapter 6: 3D Face Modeling from Monocular Video Sequences Chapter 7: Face Modeling by Information Maximization Chapter 8: Face Recognition by Human Chapter 9: Predicting Face Recognition Success for Humans Chapter 10: Distributed Representation of Faces and Objects PART III: ADVANCED METHODS Chapter 11: On the Effect of Illumination and Face Recognition Chapter 12: Modeling Illumination Variation with Spherical Harmonics Chapter 13: Multi-Subregion Based Probabilistic Approach Toward Pose-Invariant Face Recognition Chapter 14:Morphable Models for Training a Component-Based Face Recognition System Chapter 15: Model-Based Face Modeling and Tracking with Application to Video Conferencing Chapter 16: 3D and MultiModal 3D & 2D Face Recognition Chapter 17: Beyond One Still Image: Face Recognition from multiple Still Images or Video Sequence Chapter 18: Subset Modeling of Face Localization Error, Occlusion and Expression Chapter 19: Real-Time Robust Face and Facial Features Detection with Information-Based Maximum Discrimination Chapter 20: Current Landscape of Thermal Infrared Face Recognition Chapter 21: Multimodal Biometrics: Augmenting Face with Other CuesReviewsAuthor InformationProf. 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. Tab Content 6Author Website:Countries AvailableAll regions |