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Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks / / edited by Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch



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Autore: Rathgeb Christian Visualizza persona
Titolo: Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks / / edited by Christian Rathgeb, Ruben Tolosana, Ruben Vera-Rodriguez, Christoph Busch Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Edizione: 1st ed. 2022.
Descrizione fisica: 1 online resource (481 pages) : illustrations (chiefly color)
Disciplina: 006.248
Soggetto topico: Biometric identification
Image processing - Digital techniques
Computer vision
Data protection
Image processing
Biometrics
Computer Imaging, Vision, Pattern Recognition and Graphics
Data and Information Security
Image Processing
Classificazione: COM016000COM053000TEC008000
Altri autori: RathgebChristian  
TolosanaRuben  
Vera-RodriguezRuben  
BuschChristoph  
Nota di bibliografia: Includes index.
Nota di contenuto: Part I - Introduction: 1. Digital Face Manipulation: An Introduction -- 2. Face Manipulation in Biometric Systems -- 3. Face Manipulation in Media Forensics -- Part II - Face Manipulation Detection Methods: 4. DeepFakes Manipulation -- 5. DeepFakes Detection -- 6. Attacking Face Recognition Systems with DeepFakes.
Sommario/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.
Titolo autorizzato: Handbook of Digital Face Manipulation and Detection  Visualizza cluster
ISBN: 3-030-87664-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910522973903321
Lo trovi qui: Univ. Federico II
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Serie: Advances in Computer Vision and Pattern Recognition, . 2191-6594