Ebook: Face Recognition: From Theory to Applications

The NATO Advanced Study Institute (ASI) on Face Recognition: From Theory to Applications took place in Stirling, Scotland, UK, from June 23 through July 4, 1997. The meeting brought together 95 participants (including 18 invited lecturers) from 22 countries. The lecturers are leading researchers from academia, govemment, and industry from allover the world. The lecturers presented an encompassing view of face recognition, and identified trends for future developments and the means for implementing robust face recognition systems. The scientific programme consisted of invited lectures, three panels, and (oral and poster) presentations from students attending the AS!. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (i) human processing of face recognition and its relevance to forensic systems, (ii) face coding, (iii) connectionist methods and support vector machines (SVM), (iv) hybrid methods for face recognition, and (v) predictive learning and performance evaluation. The goals of the panels were to provide links among the lectures and to emphasis the themes of the meeting. The topics of the panels were: (i) How the human visual system processes faces, (ii) Issues in applying face recognition: data bases, evaluation and systems, and (iii) Classification issues involved in face recognition. The presentations made by students gave them an opportunity to receive feedback from the invited lecturers and suggestions for future work.

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This is the first book on automatic face recognition. Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries, and human-computer intelligent interactions. The book is based on a NATO Advanced Study Institute held in 1997 at which leading researchers provided a broad overview on face recognition and identified trends for future developments and the means for implementing robust systems. The methods presented are synergetic efforts from the fields signal and image processing, pattern recognition, machine learning, neural networks, psychophysics, and system engineering. The emphasis is on tested methods such as principal component analysis, dynamic link architecture, support vector machines, and video processing.

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This is the first book on automatic face recognition. Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries, and human-computer intelligent interactions. The book is based on a NATO Advanced Study Institute held in 1997 at which leading researchers provided a broad overview on face recognition and identified trends for future developments and the means for implementing robust systems. The methods presented are synergetic efforts from the fields signal and image processing, pattern recognition, machine learning, neural networks, psychophysics, and system engineering. The emphasis is on tested methods such as principal component analysis, dynamic link architecture, support vector machines, and video processing.
Content:
Front Matter....Pages I-IX
Front Matter....Pages 1-1
Neural and Psychophysical Analysis of Object and Face Recognition....Pages 3-25
Multi-Modal Person Authentication....Pages 26-50
Human Face Perception and Identification....Pages 51-72
Discriminant Analysis of Principal Components for Face Recognition....Pages 73-85
Inductive Principles for Learning from Data....Pages 86-107
Phenotypic versus Genotypic Approaches to Face Recognition....Pages 108-123
Connectionists Methods for Human Face Processing....Pages 124-156
Efficient Focusing and Face Detection....Pages 157-173
Face Detection and Recognition....Pages 174-185
The Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test....Pages 186-205
Face Recognition Using Deformable Matching....Pages 206-229
Beyond Linear Eigenspaces: Bayesian Matching for Face Recognition....Pages 230-243
The FERET Evaluation....Pages 244-261
Active Vision-based Face Recognition: Issues, Applications and Techniques....Pages 262-286
Getting Facial Features and Gestures in 3D....Pages 287-309
Generalization to Novel Views from a Single Face Image....Pages 310-326
Modular Forensic Architectures....Pages 327-347
Eye Detection and Face Recognition Using Evolutionary Computation....Pages 348-377
Front Matter....Pages 379-379
Learning Viewpoint Invariant Face Representations from Visual Experience by Temporal Association....Pages 381-390
Visible Speech Perception and Robustness in Face Processing....Pages 391-401
Front Matter....Pages 379-379
Practical Application of Facial Recognition: Automated Facial Recognition Access Control System....Pages 402-411
Estimating 3D Facial Pose Using the EM Algorithm....Pages 412-423
PCA, Neural Networks and Estimation for Face Detection....Pages 424-432
3D Pose Estimation of the Face from Video....Pages 433-445
Characterising Virtual Eigensignatures for General Purpose Face Recognition....Pages 446-456
An Attentive Processing Strategy for the Analysis of Facial Features....Pages 457-468
Face Location in Real Backgrounds....Pages 469-479
Recognising People and Behaviours....Pages 480-491
Differences of Face and Object Recognition in Utilizing Early Visual Information....Pages 492-502
Pulse Images for Face Recognition....Pages 503-512
Faceless Identification....Pages 513-527
Pose Discriminiation and Eye Detection Using Support Vector Machines (SVM)....Pages 528-536
A Practical Automatic Face Recognition System....Pages 537-546
Feature Processing from Upright and Inverted Faces....Pages 547-555
Using Differential Constraints to Generate a 3D Face Model from Stereo....Pages 556-567
Fast Face Location in Complex Backgrounds....Pages 568-577
Recognising Moving Faces....Pages 578-588
Some Experiments On Face Recognition With Neural Networks....Pages 589-598
Face Recognition Research at CSIRO....Pages 599-609
Face Image Processing Supporting Epileptic Seizure Analysis....Pages 610-616
Front Matter....Pages 379-379
Real-time Gaze Observation for Tracking Human Control of Attention....Pages 617-626
A Saccadic Vision System for Landmark Detection and Face Recognition....Pages 627-636

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This is the first book on automatic face recognition. Face recognition is a complex and difficult problem that is important for surveillance and security, telecommunications, digital libraries, and human-computer intelligent interactions. The book is based on a NATO Advanced Study Institute held in 1997 at which leading researchers provided a broad overview on face recognition and identified trends for future developments and the means for implementing robust systems. The methods presented are synergetic efforts from the fields signal and image processing, pattern recognition, machine learning, neural networks, psychophysics, and system engineering. The emphasis is on tested methods such as principal component analysis, dynamic link architecture, support vector machines, and video processing.
Content:
Front Matter....Pages I-IX
Front Matter....Pages 1-1
Neural and Psychophysical Analysis of Object and Face Recognition....Pages 3-25
Multi-Modal Person Authentication....Pages 26-50
Human Face Perception and Identification....Pages 51-72
Discriminant Analysis of Principal Components for Face Recognition....Pages 73-85
Inductive Principles for Learning from Data....Pages 86-107
Phenotypic versus Genotypic Approaches to Face Recognition....Pages 108-123
Connectionists Methods for Human Face Processing....Pages 124-156
Efficient Focusing and Face Detection....Pages 157-173
Face Detection and Recognition....Pages 174-185
The Bochum/USC Face Recognition System and How it Fared in the FERET Phase III Test....Pages 186-205
Face Recognition Using Deformable Matching....Pages 206-229
Beyond Linear Eigenspaces: Bayesian Matching for Face Recognition....Pages 230-243
The FERET Evaluation....Pages 244-261
Active Vision-based Face Recognition: Issues, Applications and Techniques....Pages 262-286
Getting Facial Features and Gestures in 3D....Pages 287-309
Generalization to Novel Views from a Single Face Image....Pages 310-326
Modular Forensic Architectures....Pages 327-347
Eye Detection and Face Recognition Using Evolutionary Computation....Pages 348-377
Front Matter....Pages 379-379
Learning Viewpoint Invariant Face Representations from Visual Experience by Temporal Association....Pages 381-390
Visible Speech Perception and Robustness in Face Processing....Pages 391-401
Front Matter....Pages 379-379
Practical Application of Facial Recognition: Automated Facial Recognition Access Control System....Pages 402-411
Estimating 3D Facial Pose Using the EM Algorithm....Pages 412-423
PCA, Neural Networks and Estimation for Face Detection....Pages 424-432
3D Pose Estimation of the Face from Video....Pages 433-445
Characterising Virtual Eigensignatures for General Purpose Face Recognition....Pages 446-456
An Attentive Processing Strategy for the Analysis of Facial Features....Pages 457-468
Face Location in Real Backgrounds....Pages 469-479
Recognising People and Behaviours....Pages 480-491
Differences of Face and Object Recognition in Utilizing Early Visual Information....Pages 492-502
Pulse Images for Face Recognition....Pages 503-512
Faceless Identification....Pages 513-527
Pose Discriminiation and Eye Detection Using Support Vector Machines (SVM)....Pages 528-536
A Practical Automatic Face Recognition System....Pages 537-546
Feature Processing from Upright and Inverted Faces....Pages 547-555
Using Differential Constraints to Generate a 3D Face Model from Stereo....Pages 556-567
Fast Face Location in Complex Backgrounds....Pages 568-577
Recognising Moving Faces....Pages 578-588
Some Experiments On Face Recognition With Neural Networks....Pages 589-598
Face Recognition Research at CSIRO....Pages 599-609
Face Image Processing Supporting Epileptic Seizure Analysis....Pages 610-616
Front Matter....Pages 379-379
Real-time Gaze Observation for Tracking Human Control of Attention....Pages 617-626
A Saccadic Vision System for Landmark Detection and Face Recognition....Pages 627-636
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