Handbook of Digital Face Manipulation and Detection

Christian Rathgeb

ISBN 10: 3030876667 / ISBN 13: 9783030876661

Editore: Springer International Publishing, Springer Nature Switzerland Feb 2022, 2022

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Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 500 pp. Englisch.

Codice articolo 9783030876661

Dati bibliografici

• Titolo: Handbook of Digital Face Manipulation and Detection
• Editore: Springer International Publishing, Springer Nature Switzerland Feb 2022
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3030876667
• ISBN 13: 9783030876661
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 27 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 27 millimetri di profondità
• Peso: 750 grammi

Descrizione articolo

Riassunto

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.