New Approaches to Characterization and Recognition of Faces

preface_New Approaches to Characterization and Recognition of Faces......Page 1
Part 1 - Architectures and Coding Techniques......Page 11
01 Automatic Face Recognition System
for Hidden Markov Model Techniques......Page 13
02 Large-Scale Face Image Retrieval:
A Wyner-Ziv Coding Approach......Page 39
Part 2 - 3D Methods for Face Recognition......Page 55
03 3D Face Recognition......Page 57
04 Face Image Synthesis and Interpretation Using 3D Illumination-Based AAM Models......Page 79
05 Processing and Recognising Faces in 3D Images......Page 103
Part 3 - Video and Real-Time Techniques......Page 123
06 Real-Time Video Face Recognition for Embedded Devices......Page 125
07 Video Based Face Recognition Using Convolutional Neural Network......Page 141
08 Adaptive Fitness Approach - an Application for Video-Based Face Recognition......Page 163
09 Real Time Robust Embedded Face Detection Using High Level Description......Page 181
Part 4 - Methods of Face Characterization and Feature Detection......Page 205
10 Face Discrimination Using the Orientation and Size Recognition Characteristics of the Spreading Associative Neural Network......Page 207
11 The Methodology for Facial Features Detection......Page 223
12 Exploring and Understanding the High Dimensional and Sparse Image Face Space: a Self-Organized Manifold Mapping......Page 235
Part 5 - Perceptual Aspects of Face Recognition......Page 249
13 The Effects of Right/Left Temporal Lobe Lesions on the Recognition of Familiar Faces......Page 251