Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks

Christian Rathgeb

ISBN 10: 3030876667 / ISBN 13: 9783030876661

Published by Springer, Springer, 2022

About this Item

Druck auf Anfrage Neuware - Printed after ordering - This open access book provides the first comprehensive collection ofstudiesdealing with the hot topic of digital face manipulationsuch 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 thestate-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 indigital 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.

Seller Inventory # 9783030876661

Bibliographic Details

• Title: Handbook of Digital Face Manipulation and Detection : From DeepFakes to Morphing Attacks
• Publisher: Springer, Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030876667
• ISBN 13: 9783030876661
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 27D millimeters 235 millimeters width by 155 millimeters height by 27 millimeters depth
• Weight: 750 grams

About this title

Synopsis

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.