Jun Wan Guodong Guo Sergio Escalera Hugo Jair Escalante Stan Z. Li Wan Advances in Face Presentation Attack Detection

Advances in Face Presentation Attack Detection

von Jun Wan Guodong Guo Sergio Escalera Hugo Jair Escalante Stan Z. Li

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Beschreibung

This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. 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.
This book revises and expands upon the prior edition of Multi-Modal Face Presentation Attack Detection. 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.
Identifies challenges when designing and implementing methods of face spoofing attack detection Explains why face anti-spoofing is essential for preventing security breaches in face recognition systems Provides current methods of face anti-spoofing and highlights directions for future research in the field

Autor*in

Jun Wan

Themen in »Advances in Face Presentation Attack Detection«

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

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Details

ISBN: 9783031329081
Verlag: Springer International Publishing
Erscheinung: 27.07.2024

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