UID:
almahu_9949241893302882
Format:
IX, 487 p. 173 illus., 162 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783030876647
Series Statement:
Advances in Computer Vision and Pattern Recognition,
Content:
This open access book provides the first comprehensive collection of studies dealing with the hot topic of digital face manipulation such as DeepFakes, Face Morphing, or Reenactment. It combines the research fields of biometrics and media forensics including contributions from academia and industry. Appealing to a broad readership, introductory chapters provide a comprehensive overview of the topic, which address readers wishing to gain a brief overview of the state-of-the-art. Subsequent chapters, which delve deeper into various research challenges, are oriented towards advanced readers. Moreover, the book provides a good starting point for young researchers as well as a reference guide pointing at further literature. Hence, the primary readership is academic institutions and industry currently involved in digital face manipulation and detection. The book could easily be used as a recommended text for courses in image processing, machine learning, media forensics, biometrics, and the general security area.
Note:
Part I - Introduction: 1. Digital Face Manipulation: An Introduction -- 2. Face Manipulation in Biometric Systems -- 3. Face Manipulation in Media Forensics -- Part II - Face Manipulation Detection Methods: 4. DeepFakes Manipulation -- 5. DeepFakes Detection -- 6. Attacking Face Recognition Systems with DeepFakes.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030876630
Additional Edition:
Printed edition: ISBN 9783030876654
Additional Edition:
Printed edition: ISBN 9783030876661
Language:
English
DOI:
10.1007/978-3-030-87664-7
URL:
https://doi.org/10.1007/978-3-030-87664-7
