"Face Analysis, Modeling and Recognition Systems" ed. by Tudor Barbu (Repost)

This book provides a concise and comprehensive coverage of artificial face recognition domain across four major areas of interest: biometrics, robotics, image databases and cognitive models. The book aims to provide the reader with current state-of-the-art in these domains. This book will be of special interest to researchers and academics interested in computer vision, biometrics, image processing, pattern recognition and medical diagnosis.

The chapters in this book describe numerous novel face analysis techniques and approach many unsolved issues.
The topics in this book cover a wide range of issues related to face analysis and here are offered many solutions to open issues.

Contents
Preface
Part 1 Face Recognition Systems using Principal Component Analysis
1 An Improved Face Recognition System for Service Robot Using Stereo Vision
2 Two Novel Face Recognition Approaches
Part 2 Feature-based Face Detection, Analysis and Recognition Algorithms
3 Face Recognition Using Frequency Domain Feature Extraction Methods
4 Local Feature Based Face Recognition
5 Evaluation of the Facial Paralysis Degree
6 Recognition, Classification and Inversion of Faces in the Multidimensional Space
Part 3 Facial Image Database Development Recognition Evaluation and Security Algorithms
7 A Face Image Database for Evaluating Out-of-Focus Blur
8 Improving Security for Facial Image Using Fragile Digital Watermarking
Part 4 Cognitive Models for Face Recognition Disorders
9 Face Recognition in Human: The Roles of Featural and Configurational Processing
10 Psychiatric Disorders of Face Recognition
11 Heritability of Face Recognition
12 New Findings for Face Processing Deficits in the Mental Disorder of Schizophrenia

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