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        Handbook of Digital Face Manipulation and Detection

        From DeepFakes to Morphing Attacks

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        Contributor(s)
        Rathgeb, Christian (editor)
        Tolosana, Ruben (editor)
        Vera-Rodriguez, Ruben (editor)
        Busch, Christoph (editor)
        Language
        English
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        Abstract
        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.
        URI
        https://library.oapen.org/handle/20.500.12657/52835
        Keywords
        DeepFakes; Face Manipulation Detection; Media Forensic; Biometric Recognition; Image Processing and Pattern Recognition; Open Access
        DOI
        10.1007/978-3-030-87664-7
        ISBN
        9783030876647, 9783030876647
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        Cham, 2022
        Imprint
        Springer International Publishing
        Series
        Advances in Computer Vision and Pattern Recognition,
        Classification
        Pattern recognition
        Computer vision
        Computer security
        Imaging systems and technology
        Pages
        487
        Rights
        http://creativecommons.org/licenses/by/4.0/
        • Imported or submitted locally

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        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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