Face Processing: Advanced Modeling and Methods

✍ Scribed by Zhao, Wenyi;Chellappa, Rama

• Publisher: Elsevier Science
• Year: 2011
• Tongue: English
• Leaves: 755
• Category: Library

✦ Synopsis

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.;Front Cover; FACE PROCESSING: Advanced Modeling and Methods; Copyright Page; Contents; Contributors; Preface; PART I: THE BASICS; Chapter 1. A Guided Tour of Face Processing; Chapter 2. Eigenfaces and Beyond; Chapter 3. Introduction to the Statistical Evaluation of Face-Recognition Algorithms; PART II: FACE MODELING; COMPUTATIONAL ASPECTS; 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.

✦ Table of Contents

Front Cover
FACE PROCESSING: Advanced Modeling and Methods
Copyright Page
Contents
Contributors
Preface
PART I: THE BASICS
Chapter 1. A Guided Tour of Face Processing
Chapter 2. Eigenfaces and Beyond
Chapter 3. Introduction to the Statistical Evaluation of Face-Recognition Algorithms
PART II: FACE MODELING
COMPUTATIONAL ASPECTS
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 MaximizationPSYCHOPHYSICAL ASPECTS
Chapter 8. Face Recognition by Humans
Chapter 9. Predicting Human Performance for Face Recognition
Chapter 10. Spatial Distribution of Face and Object Representations in the Human Brain
PART III: ADVANCED METHODS
Chapter 11. On the Effect of Illumination and Face Recognition
Chapter 12. Modeling Illumination Variation with Spherical Harmonics
Chapter 13. A Multisubregion-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 TrackingWith Application to Videoconferencing
Chapter 16. A survey of 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. Near Real-time Robust Face and Facial-Feature Detection with Information-Based Maximum Discrimination. Chapter 20. Current Landscape of Thermal Infrared Face RecognitionChapter 21. Multimodal Biometrics: Augmenting Face With Other Cues
Index.

✦ Subjects

Human face recognition (Computer science);Electronic books