Face Processing: Advanced Modeling and Methods (Hardcover)

Wenyi Zhao, Rama Chellappa

  • 出版商: Academic Press
  • 出版日期: 2005-12-28
  • 售價: $3,660
  • 貴賓價: 9.5$3,477
  • 語言: 英文
  • 頁數: 768
  • 裝訂: Hardcover
  • ISBN: 0120884526
  • ISBN-13: 9780120884520
  • 立即出貨 (庫存=1)





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.


 Table Of Contents

Chapter 1: A Guided Tour for Face Processing
Chapter 2: Eigenface and Beyond
Chapter 3: Statistical Evaluation of Face Recognition Systems

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

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