Handbook of Face Recognition by Stan Z Li PDF

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Handbook of Face Recognition by Stan Z. Li .. PDF



The history of computer-aided face recognition dates to the 1960s, yet the problem of automatic face recognition – a task that humans perform routinely and effortlessly in our daily lives – still poses great challenges, especially in unconstrained conditions.



This highly anticipated new edition provides a comprehensive account of face recognition research and technology, spanning the full range of topics needed for designing operational recognition systems. After a thorough introduction, each subsequent chapter focuses on a specific topic, reviewing background information, up-to-date techniques, and recent results, as well as offering challenges and future directions.





Topics and features:

Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systems

Provides comprehensive coverage of face detection, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications

Contains numerous step-by-step algorithms

Describes a broad range of applications from person verification, surveillance, and security, to entertainment

Presents contributions from an international selection of preeminent experts

Integrates numerous supporting graphs, tables, charts, and performance data



This practical and authoritative reference is an essential resource for researchers, professionals and students involved in image processing, computer vision, biometrics, security, Internet, mobile devices, human-computer interface, E-services, computer graphics and animation, and the computer game industry.





Table of Contents



Part I. Introduction and Fundamentals



1. Face Recognition Research and Development

2. Convolutional Neural Networks and Architectures

3. Generative Networks



Part II. Face Processing Modules



4. Face Detection

5. Facial Landmark Localization

6. Facial Attribute Analysis

7. Face Presentation Attack Detection

8. Face Feature Embedding

9. Video-Based Face Recognition

10. Face Recognition with Synthetic Data

11. Uncertainty-Aware Face Recognition

12. Reducing Bias in Face Recognition

13. Adversarial Attacks on Face Recognition

14. Heterogeneous Face Recognition

15. 3D Face Recognition



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