 |
|
| FACE PROCESSING: ADVANCED MODELING AND METHODS
| |
| | |
|
|
To order this title, and for more information, click here
Edited By
Wenyi Zhao, Editor Sarnoff Corporation, Princeton, NJ, USA
Rama Chellappa, Editor University of Maryland, College Park, MD, USA
Description
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.
Audience
Researchers, students and professors in signal/image processing, computer vision, pattern recognition, machine learning, computer graphics, psychology, and neuroscience
Contents
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
| Bibliographic details |
Hardbound, 768 pages, publication date: DEC-2005
ISBN-13: 978-0-12-088452-0
ISBN-10: 0-12-088452-6
Imprint: ACADEMIC PRESS
|
| Price and Ordering |
Price:
EUR 75.95
USD 91.95
GBP 64
|  |
Books and book related electronic products are priced in US dollars (USD), euro (EUR), and Great Britain Pounds (GBP). USD prices apply to the Americas and Asia Pacific. EUR prices apply in Europe and the Middle East. GBP prices apply to the UK and all other countries.
|
See also information about conditions of sale & ordering procedures, and links to our regional sales offices.
|
034/325
Last update: 7 Sep 2009
|
|
| |
| | |
|
|
| |
Home | Elsevier Sites | Privacy Policy | Terms and Conditions | Feedback | Site Map | A Reed Elsevier Company