International Series on Biometrics - Wechsler H. - Reliable Face Recognition Methods

Reliable Face Recognition Methods

Год: 2006
Автор: Harry Wechsler
Жанр: Программирование
Издательство: Springer
ISBN: 978-0387223728
Серия: International Series on Biometrics
Язык: Английский
Формат: PDF
Качество: Изначально компьютерное (eBook)
Интерактивное оглавление: Нет
Количество страниц: 342
Описание: One of the grand challenges for computational intelligence and biometrics is to understand how people process and recognize faces and to develop automated and reliable face recognition systems. Biometrics has become the major component in the complex decision making process associated with security applications. The many challenges addressed for face detection and authentication include cluttered environments, occlusion and disguise, temporal changes, and last but not least, robust training and open set testing.
Reliable Face Recognition Methods seeks to comprehensively address the face recognition problem while drawing inspiration and gaining new insights from complementary fields of endeavor such as neurosciences, statistics, signal and image processing, computer vision, and machine learning and data mining. The book examines the evolution of research surrounding the field to date, explores new directions, and offers specific guidance on the most promising venues for future R&D.
With its well-focused approach and clarity of presentation, this new text/reference is an excellent resource for computer scientists and engineers, researchers, and professionals who need to learn about face recognition. In addition, the book is ideally suited to students studying biometrics, pattern recognition, and human-computer interaction.

Примеры страниц

Оглавление
Preface
Introduction
Tasks and Protocols
Biometrics SystemDesign
History
RoadMap
The Human Face
CognitiveNeurosciences
Psychophysics
The Social Face
Aesthetics and Arts

3 Modelingand Prediction
Bayesian Inference
Connectionism
Regularization
Structural Risk Minimization
Transduction
Generative and DiscriminativeMethods
DataCollection
Sensing
Standards
DataCompression
FaceRepresentation
The Face Space
Scale Space
Invariance
SubspaceMethods
Feature Selection
Caricatures
Kernel Methods
Color
FaceRecognition
Metrics
Verificationand Identification
OpenSet Recognition
Watch List and Surveillance
Recognition-by-Parts
Face Selection
Categorization
Morphometries
Facein a Crowd
Face Detection
Eye Detection
Uncertainty
Active Learning and Evidence Accumulation
Video Break Detectionand Key Frame Extraction
Pose Detectionand Manifolds
Tracking and Recognitionfrom Video
Spatio-Temporal SubspaceAnalysis Using 3D ICA

3D
Sensing
Analysis bySynthesis
Animation
Modelingand Recognition
DataFusion
Multiple Cues
Multiple Engines
Voting Schemes
Multiple Samples
MultimodalSensory Integration
Soft Biometrics
Boosting and Strangeness
Denial and Deception
HumanBiases
Camouflage
AlivenessDetection
Hallucinations
AsymmetricFaces
Adaptive and RobustCorrelation Filters
Associative,Distributed and HolographicMemories
AugmentedCognition
Paralanguage
Face Expressions
W5+
Performance Evaluation
Figuresof Merit
Score Normalization
Decision Thresholds
Comparative Assessment
DataBases
VirtualSamples
Error Analysis
Confidence Intervals
Prevalence and Fallacies
PatternSpecific ErrorInhomogeneities
Large Scale BiometricEvaluations
Security and Privacy
Diversity and Uniqueness
Regeneration of Face Images from BiometricTemplates
Cryptography
Steganography and Digital Watermarking
Anonymity
Photofits
e-Science and Computing
Epilogue
References
Index