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Handbook of Digital Face Manipulation and Detection

Handbook of Digital Face Manipulation and Detection

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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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This work has been downloaded 70 times via unglue.it ebook links.
  1. 70 - pdf (CC BY) at OAPEN Library.

Keywords

  • Applied optics
  • artificial intelligence
  • Biometric Recognition
  • Computer science
  • Computer security
  • Computer vision
  • Computing & information technology
  • DeepFakes
  • Face Manipulation Detection
  • Image Processing and Pattern Recognition
  • Imaging systems & technology
  • Media Forensic
  • open access
  • Other technologies & applied sciences
  • pattern recognition
  • Technology, engineering, agriculture
  • thema EDItEUR::U Computing and Information Technology::UR Computer security
  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQP Pattern recognition
  • thema EDItEUR::U Computing and Information Technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision

Links

DOI: 10.1007/978-3-030-87664-7

Editions

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