Face Processing: Advanced Modeling and Methods

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