Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks (Advances in Computer Vision and Pattern Recognition) by Rathgeb, Christian (Editor) / Tolosana, Ruben (Editor) / Vera-Rodriguez, Ruben (Editor) / Busch, Christoph (Editor): Brand New Paperback (2022)

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496 pages. 9.25x6.10x1.26 inches. In Stock.

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Bibliographic Details

Title: Handbook of Digital Face Manipulation and Detection: From DeepFakes to Morphing Attacks (Advances in Computer Vision and Pattern Recognition)
Publisher: Springer
Publication Date: 2022
Language: English
ISBN 10: 3030876667
ISBN 13: 9783030876661
Binding: Paperback
Condition: Brand New

About this title

Synopsis

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.

From the Back Cover

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.

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