http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
1 online resource (xv, 738 pages) : illustrations
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.
Preface -- 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 Cues.
Includes bibliographical references and index.
Human face recognition (Computer science)
Amsterdam ; Boston : Elsevier / Academic Press, ©2006
107530:107566 Elsevier Science & Technology