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

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

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xx 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 xx