Handbook of Digital Face Manipulation and Detection

From DeepFakes to Morphing Attacks de

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Éditeur :

Springer


Collection :

Advances in Computer Vision and Pattern Recognition

Paru le : 2022-01-31

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Description

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.
Pages
487 pages
Collection
Advances in Computer Vision and Pattern Recognition
Parution
2022-01-31
Marque
Springer
EAN papier
9783030876630
EAN PDF
9783030876647

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
13978 Ko
Prix
0,00 €
EAN EPUB
9783030876647

Informations sur l'ebook
Nombre pages copiables
4
Nombre pages imprimables
48
Taille du fichier
101796 Ko
Prix
0,00 €