Handbook of Digital Face Manipulation and Detection - From DeepFakes to Morphing Attacks (Paperback, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Advances in Computer Vision and Pattern Recognition
Release date:	February 2022
First published:	2022
Editors:	Christian Rathgeb • Ruben Tolosana • Ruben Vera-Rodriguez • Christoph Busch
Dimensions:	235 x 155 x 33mm (L x W x T)
Format:	Paperback
Pages:	487
Edition:	1st ed. 2022
ISBN-13:	978-3-03-087666-1
Categories:	Books > Computing & IT > Computer communications & networking > Network security Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Applied optics > General Promotions
LSN:	3-03-087666-7
Barcode:	9783030876661

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