Dynamic Vision:From Images to Face RecognitionShaogang Gong, Stephen McKenna and Alexandra Psarrou |
1 About Face
The Visual Face, The Changing Face, Computing
Faces, Biological Perspectives, The Approach
2 Perception and Representation
A Distal Object, Representation by 3D
Reconstruction, Two-dimensional View-based Representation, Image Template-based
Representation, The Correspondence Problem and Alignment, Biological Perspectives,
Discussion
3 Learning Under Uncertainty
Statistical Learning, Learning as Function
Approximation, Bayesian Inference and MAP Classification, Learning as Density
Estimation, Unsupervised Learning without Density Estimation, Linear Classification
and Regression, Non-linear Classification and Regression, Adaptation, Biological
Perspectives, Discussion
PART II FROM SENSORY TO MEANINGFUL PERCEPTION
4 Selective Attention: Where
to Look
Pre-attentive Visual Cues from Motion,
Learning Object-based Colour Cues, Perceptual Grouping for Selective Attention,
Data Fusion for Perceptual Grouping, Temporal Matching and Tracking, Biological
Perspectives, Discussion
5 A Face Model: What to Look
For
Person-independent Face Models for Detection,
Modelling the Face Class, Modelling a Near-face Class, Learning a Decision
Boundary, Perceptual Search, Biological Perspectives, Discussion
6 Understanding Pose
Feature and Template-based Correspondence,
The Face Space across Views: Pose Manifolds, Template Matching as Affine
Transformation, Similarities to Prototypes across Views, Learning View-based
Support Vector Machines, Biological Perspectives, Discussion
7 Prediction and Adaptation
Temporal Observations, Propagating First-order
Markov Processes, Kalman Filters, Propagating Non-Gaussian Conditional
Densities, Tracking Attended Regions, Adaptive Colour Models, Selective
Adaptation, Tracking Faces, Pose Tracking, Biological Perspectives, Discussion
PART III MODELS OF IDENTITY
8 Single-View Identification
Identification Tasks, Nearest-neighbour
Template Matching, Representing Knowledge of Facial Appearance, Statistical
Knowledge of Facial Appearance, Statistical Knowledge of Identity, Structural
Knowledge: The Role of Correspondence, Biological Perspectives, Discussion
9 Multi-View Identification
View-based Models, The Role of Prior Knowledge,
View Correspondence in Identification, Generalisation from a Single View,
Generalisation from Multiple Views, Biological Perspectives, Discussion
10 Identifying Moving Faces
Biological Perspectives, Computational
Theories of Temporal Identification, Identification using Holistic Temporal
Trajectories, Identification by Continuous View Transformation, An Experimental
System, Discussion
PART IV PERCEPTION IN CONTEXT
11 Perceptual Integration
Sensory and Model-based Vision, Perceptual
Fusion, Perceptual Inference, Vision as Co-operating Processes, Biological
Perspectives, Discussion
12 Beyond Faces
Multi-modal Identification, Visually Mediated
Interaction, Visual Surveillance and Monitoring, Immersive Virtual Reality,
Visual Database Screening
PART V APPENDICES
A Databases
Database Acquisition and Design, Acquisition
of a Pose-labelled Database, Benchmarking, Commercial Databases, Public
Domain Face Databases, Discussion
B Commercial Systems
System Characterisation, A View on the
Industry, Discussion
C Mathematical Details
Principal Components Analysis, Linear
Discriminant Analysis, Gaussian Mixture Estimation, Kalman Filters, Bayesian
Belief Networks, Hidden Markov Models, Gabor Wavelets
Bibliography
Index
364 pp.