Details
Handbook of Face Recognition
3rd ed. 2024
|
213,99 € |
|
| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 29.12.2023 |
| ISBN/EAN: | 9783031435676 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>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.</p><p>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.</p><p><b>Topics and features:</b></p><p></p><ul><li>Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systems</li><li>Provides comprehensive coverage of face detection, alignment, feature extraction, and recognition technologies, and issues in evaluation, systems, security, and applications</li><li>Contains numerous step-by-step algorithms</li><li>Describes a broad range of applications from person verification, surveillance, and security, to entertainment</li><li>Presents contributions from an international selection of preeminent experts</li><li>Integrates numerous supporting graphs, tables, charts, and performance data</li></ul><p></p><p>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.</p>
Part I: Introduction and Background.- 1. Overview on Face recognition.- 2. Historical Developments and Challenges.- 3. Applications.- Part II: Fundamentals of Deep Neural Networks.- 4. Overview on Deep Learning for FR.- 5. Deep Neural Network Architecture Design.- 6. Loss Function Design.- 7. Auto-Encoders.- 8. Convolutional Neural Networks.- 9. Generative Adversarial Networks.- 10. Transfer Learning and Domain Adaptation.- 11. Deep Learning with Big/Small Data.- 12. Model Compression and Speedup.- 13. Programming Platforms for Deep Learning.- Part III: Face Recognition by Deep Neural Networks.- 14. Overview on Face Recognition Methods.- 15. Preprocessing Methods.- 16. Face Localization Detection.- 17. Face Localization Landmark.- 18. Visual Face Recognition.- 19. Multispectral Face Recognition.- 20. Fusion for Face Recognition.
<p><b>Dr. Stan Z. Li</b> is Chair Professor of Artificial Intelligence at Westlake University, Hangzhou, China. His Springer titles include <i>Encyclopedia of Biometrics</i> (with Dr. Jain) and <i>Handbook of Remote Biometrics</i>, among others<i>.</i></p><p><b>Dr. Anil K. Jain</b> is a University Distinguished Professor in the Department of Computer Science and Engineering at Michigan State University, USA. His Springer titles include <i>Introduction to Biometrics </i>and<i> Handbook of Fingerprint Recognition, </i>among others<i>.</i> </p><p><b>Jiankang Deng</b> is a researcher and honorary lecturer at the Department of Computing, Imperial College London, UK. He is one of the main contributors to the widely used open-source platform Insight face.<br></p><p><br></p>
<p>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.</p>
<p>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.</p>
<p><b>Topics and features:</b></p><p></p><ul><li>Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systems</li><li>Provides comprehensive coverage of face detection, alignment, feature extraction, and recognitiontechnologies, and issues in evaluation, systems, security, and applications</li><li>Contains numerous step-by-step algorithms</li><li>Describes a broad range of applications from person verification, surveillance, and security, to entertainment</li><li>Presents contributions from an international selection of preeminent experts</li><li>Integrates numerous supporting graphs, tables, charts, and performance data</li></ul><p></p>
<p>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.</p>
<p><b>Dr. Stan Z. Li</b> is Chair Professor of Artificial Intelligence at Westlake University, Hangzhou, China. His Springer titles include <i>Encyclopedia of Biometrics</i> (with Dr. Jain) and <i>Handbook of Remote Biometrics</i>, among others<i>.</i> <b>Dr. Anil K. Jain</b> is a University Distinguished Professor in the Department of Computer Science and Engineering at Michigan State University, USA. His Springer titles include <i>Introduction to Biometrics </i>and<i> Handbook of Fingerprint Recognition, </i>among others<i>.</i> <b>Jiankang Deng</b> is a researcher and honorary lecturer at the Department of Computing, Imperial College London, UK. He is one of the main contributors to the widely used open-source platform Insight face.</p>
<p>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.</p>
<p><b>Topics and features:</b></p><p></p><ul><li>Fully updated, revised, and expanded, covering the entire spectrum of concepts, methods, and algorithms for automated detection and recognition systems</li><li>Provides comprehensive coverage of face detection, alignment, feature extraction, and recognitiontechnologies, and issues in evaluation, systems, security, and applications</li><li>Contains numerous step-by-step algorithms</li><li>Describes a broad range of applications from person verification, surveillance, and security, to entertainment</li><li>Presents contributions from an international selection of preeminent experts</li><li>Integrates numerous supporting graphs, tables, charts, and performance data</li></ul><p></p>
<p>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.</p>
<p><b>Dr. Stan Z. Li</b> is Chair Professor of Artificial Intelligence at Westlake University, Hangzhou, China. His Springer titles include <i>Encyclopedia of Biometrics</i> (with Dr. Jain) and <i>Handbook of Remote Biometrics</i>, among others<i>.</i> <b>Dr. Anil K. Jain</b> is a University Distinguished Professor in the Department of Computer Science and Engineering at Michigan State University, USA. His Springer titles include <i>Introduction to Biometrics </i>and<i> Handbook of Fingerprint Recognition, </i>among others<i>.</i> <b>Jiankang Deng</b> is a researcher and honorary lecturer at the Department of Computing, Imperial College London, UK. He is one of the main contributors to the widely used open-source platform Insight face.</p>
Covers the entire spectrum of concepts, methods, and algorithms for automated face detection Provides comprehensive coverage of face detection, tracking, alignment, feature extraction Describes a broad range of applications, as well as issues in evaluation, system design
Diese Produkte könnten Sie auch interessieren:
Mixed-Signal Layout Generation Concepts
von: Chieh Lin, Arthur H.M. van Roermund, Domine Leenaerts
96,29 €
System-Level Design Techniques for Energy-Efficient Embedded Systems
von: Marcus T. Schmitz, Bashir M. Al-Hashimi, Petru Eles
96,29 €
