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oapen-20.500.12657-528352022-02-15T02:49:45Z Handbook of Digital Face Manipulation and Detection Rathgeb, Christian Tolosana, Ruben Vera-Rodriguez, Ruben Busch, Christoph DeepFakes Face Manipulation Detection Media Forensic Biometric Recognition Image Processing and Pattern Recognition Open Access bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQP Pattern recognition bic Book Industry Communication::U Computing & information technology::UY Computer science::UYQ Artificial intelligence::UYQV Computer vision bic Book Industry Communication::U Computing & information technology::UR Computer security bic Book Industry Communication::T Technology, engineering, agriculture::TT Other technologies & applied sciences::TTB Applied optics::TTBM Imaging systems & technology 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. 2022-02-14T21:18:09Z 2022-02-14T21:18:09Z 2022 book ONIX_20220214_9783030876647_11 9783030876647 https://library.oapen.org/handle/20.500.12657/52835 eng Advances in Computer Vision and Pattern Recognition application/pdf n/a 978-3-030-87664-7.pdf https://link.springer.com/978-3-030-87664-7 Springer Nature Springer International Publishing 10.1007/978-3-030-87664-7 10.1007/978-3-030-87664-7 6c6992af-b843-4f46-859c-f6e9998e40d5 9783030876647 Springer International Publishing 487 Cham open access
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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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