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.

Key Features

*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

Readership

Researchers, students and professors in signal/image processing, computer vision, pattern recognition, machine learning, computer graphics, psychology, and neuroscience

Table of Contents

Dedication

CONTRIBUTORS

PREFACE

PART I: THE BASICS

Chapter 1: A GUIDED TOUR OF FACE PROCESSING

1.1 INTRODUCTION TO FACE PROCESSING

1.2 FACE PERCEPTION: THE PSYCHOPHYSICS/NEUROSCIENCE ASPECT

1.3 FACE DETECTION AND FEATURE EXTRACTION

1.4 METHODS FOR FACE RECOGNITION

1.5 ADVANCED TOPICS IN FACE RECOGNITION

ACKNOWLEDGMENTS

Chapter 2: EIGENFACES AND BEYOND

2.1 INTRODUCTION

2.2 ORIGINAL CONTEXT AND MOTIVATIONS OF EIGENFACES

2.3 EIGENFACES

2.4 IMPROVEMENTS TO AND EXTENSIONS OF EIGENFACES

2.5 SUMMARY

ACKNOWLEDGMENTS

Chapter 3: INTRODUCTION TO THE STATISTICAL EVALUATION OF FACE-RECOGNITION ALGORITHMS

3.1 INTRODUCTION

3.2 FACE-IDENTIFICATION DATA, ALGORITHMS, AND PERFORMANCE MEASURES

3.3 A BERNOULLI MODEL FOR ALGORITHM TESTING

3.4 NONPARAMETRIC RESAMPLING METHODS

3.5 EXPANDING THE LDA VERSUS PCA COMPARISON

3.6 ADVANCED MODELING

3.7 CONCLUSION

Appendix A NOTATIONAL SUMMARY

Appendix B PARTICULARS FOR THE ELASTIC BUNCH GRAPH ALGORITHM

ACKNOWLEDGMENTS

PART II: FACE MODELING COMPUTATIONAL ASPECTS

Chapter 4: 3D MORPHABLE FACE MODEL, A UNIFIED APPROACH FOR ANALYSIS AND SYNTHESIS OF IMAGES

4.1 INTRODUCTION

4.2 PARAMETERS OF VARIATION IN IMAGES OF HUMAN FACES

4.3 TWO- OR THREE-DIMENSIONAL IMAGE MODELS

4.4 IMAGE ANALYSIS BY MODEL FITTING

4.5 MORPHABLE FACE MODEL

4.6 COMPARISON OF FITTING ALGORITHM

4.7 RESULTS

4.8 CONCLUSION

Chapter 5: EXPRESSION-INVARIANT THREE-DIMENSIONAL FACE RECOGNITION

5.1 INTRODUCTION

5.2 ISOMETRIC MODEL OF FACIAL EXPRESSIONS

5.3 EXPRESSION-INVARIANT REPRESENTATION

5.4 THE 3DFACE SYSTEM

5.5 RESULTS

5.6 CONCLUSIONS

ACKNOWLEDGMENTS

Chapter 6: 3D FACE MODELING FROM MONOCULAR VIDEO SEQUENCES

Details

No. of pages:
768
Language:
English
Copyright:
© 2005
Published:
Imprint:
Academic Press
Print ISBN:
9780120884520
Electronic ISBN:
9780080488844

About the authors

Wenyi Zhao

Affiliations and Expertise

Editor Sarnoff Corporation, Princeton, NJ, USA

Rama Chellappa

Affiliations and Expertise

University of Maryland, College Park, MD, USA