Advances in Face Image Analysis: Techniques and Technologies

✍ Scribed by Yu-Jin Zhang

• Publisher: IGI Global
• Year: 2010
• Tongue: English
• Leaves: 405
• Series: Premier Reference Source
• Edition: 1
• Category: Library

✦ Synopsis

Video and image analysis of the human face provides a wealth of information about the individual, , including age, behavior, health and profession. With research continually being conducted into multiple applications of this field, a comprehensive and detailed volume of the new advancements of face image analysis is in demand. Advances in face image analysis: techniques and technologies fulfills this need, reviewing and surveying new forward-thinking research and development in face image analysis technologies. With more than 30 leading experts from around the world providing comprehensive coverage of various branches of face image analysis, this book is a valuable asset for students, researchers and practitioners engaged in the study, research and development of face image analysis techniques.

✦ Table of Contents

Title
......Page 2
Table of Contents......Page 4
Detailed Table of Contents......Page 7
Preface......Page 14
Acknowledgment......Page 21
Face, Image, and Analysis......Page 24
Face Searching in Large Databases......Page 39
A Review of Facial Feature Detection Algorithms......Page 65
Gabor and Log-Gabor Wavelet for Face Recognition......Page 85
Efficient Face Retrieval Based on Bag of Facial Features......Page 105
Feature Selection in High Dimension......Page 120
Transform Based Feature Extraction and Dimensionality Reduction Techniques......Page 143
FastNMF: Efficient NMF Algorithm for Reducing Feature Dimension......Page 160
Sparse Representation for View-Based Face Recognition......Page 187
Probabilistic Methods for Face Registration and Recognition......Page 201
Discriminant Learning Using Training Space Partitioning......Page 221
From Face to Facial Expression......Page 240
Facial Expression Analysis by Machine Learning......Page 262
Subtle Facial Expression Recognition in Still Images and Videos......Page 282
Photometric Normalization Techniques for Illumination Invariance......Page 302
Pose and Illumination Invariance with Compound Image Transforms......Page 324
Configural Processing Hypothesis and Face-Inversion Effect......Page 339
Compilation of References......Page 357
About the Contributors......Page 392
Index......Page 400