Handbook of Face Recognition

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 prov...

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書誌詳細
団体著者:	SpringerLink (Online service)
その他の著者:	Li, Stan Z. (編集者), Jain, Anil K. (編集者), Deng, Jiankang (編集者)
フォーマット:	電子媒体 eBook
言語:	英語
出版事項:	Cham : Springer International Publishing : Imprint: Springer, 2024.
版:	3rd ed. 2024.
主題:	Biometric identification. Machine learning. Image processing > Digital techniques. Computer vision. Data protection. Pattern recognition systems. Forensic sciences. Biometrics. Machine Learning. Computer Imaging, Vision, Pattern Recognition and Graphics. Data and Information Security. Automated Pattern Recognition. Forensic Science.
オンライン･アクセス:	https://doi.org/10.1007/978-3-031-43567-6
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

目次:

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.

Handbook of Face Recognition

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