|  |
 |
| Artikel-Nr.: 858A-9783031329081 Herst.-Nr.: 9783031329081 EAN/GTIN: 9783031329081 |
| |
|
|  |  |
 | This book revises and expands upon the prior edition of . The authors begin with fundamental and foundational information on face spoofing attack detection, explaining why the computer vision community has intensively studied it for the last decade. The authors also discuss the reasons that cause face anti-spoofing to be essential for preventing security breaches in face recognition systems. In addition, the book describes the factors that make it difficult to design effective methods of face presentation attack detection challenges. The book presents a thorough review and evaluation of current techniques and identifies those that have achieved the highest level of performance in a series of ChaLearn face anti-spoofing challenges at CVPR and ICCV. The authors also highlight directions for future research in face anti-spoofing that would lead to progress in the field. Additional analysis, new methodologies, and a more comprehensive survey of solutions are included in this new edition. Weitere Informationen:  |  | Author: | Jun Wan; Guodong Guo; Sergio Escalera; Hugo Jair Escalante; Stan Z. Li | Verlag: | Springer International Publishing | Sprache: | eng |
|
|  |  |
 | |  |  |
 | Weitere Suchbegriffe: Datenbanken (Fachbücher), Datenbankenbücher, datenbanken (fachbücher), Face Anti-spoofing Recognition, Face Anti-spoofing Detection, Presentation Attack Detection, Multi-modal Data Analysis, Biometrics, Face Biometric Research, Face Anti-spoofing Challenge, Face Recognition |
|  |  |
| |