Overview
- Is the first comprehensive book on digital face manipulation detection
- Combines for the first time both biometrics and media forensics fields
- Includes the point of view of both academic institutions and industry
- Is an open access book
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
Buy print copy
Tax calculation will be finalised at checkout
About this book
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.
Similar content being viewed by others
Keywords
Table of contents (22 chapters)
-
Introduction
-
Digital Face Manipulation and Security Implications
-
Digital Face Manipulation Detection
Editors and Affiliations
Bibliographic Information
Book Title: Handbook of Digital Face Manipulation and Detection
Book Subtitle: From DeepFakes to Morphing Attacks
Editors: Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-030-87664-7
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2022
Hardcover ISBN: 978-3-030-87663-0Published: 01 February 2022
Softcover ISBN: 978-3-030-87666-1Published: 01 February 2022
eBook ISBN: 978-3-030-87664-7Published: 31 January 2022
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: IX, 487
Number of Illustrations: 11 b/w illustrations, 162 illustrations in colour
Topics: Biometrics, Computer Imaging, Vision, Pattern Recognition and Graphics, Systems and Data Security, Signal, Image and Speech Processing