Triangle Mesh Watermarking and Steganography (eBook)
XXII, 184 Seiten
Springer Nature Singapore (Verlag)
978-981-19-7720-6 (ISBN)
This book provides a systematic overview of watermarking and steganography methods for triangle meshes related to computer graphics and security. The significance of this research has been well recognized by the growing body of work on watermarking, steganography and steganalysis of 3D meshes. With the evolution of the CAD industry and real-world end-user applications such as virtual reality (VR) and 3D printing, 3D meshes have attracted world-wide attention. Besides, the flexible data structure of 3D geometry provides enough space to embed secret information, making it ideal for applications such as copyright protection and covert communication.
Our goal of the book is to allow readers to systematically understand 3D mesh information hiding technology and its applications as a whole. The book outlines comprehensive techniques, including handcrafted and deep learning-based techniques, digital and physical techniques in the literature and provides standard evaluation metrics for triangle meshes. The up-to-date geometrical deep learning and 3D printing-related algorithms are also covered. Offering a rich blend of ideas and algorithms, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking 3D mesh watermarking and steganography algorithms, as well as for graduate students and researchers wanting to grasp the frontiers of triangular mesh processing on data hiding.
Hang Zhou is an expert in the fields of 3D vision and graphics. He is currently a Postdoc Fellow at GrUVi, School of Computer Science, Simon Fraser University, Canada. He has received the best paper award of IJCAI workshop on safety and security of deep learning in 2021, outstanding doctoral dissertation of Chinese Academy of Sciences in 2020, the President Scholarship of Chinese Academy of Sciences in 2020 and Cyberspace Security Scholarship of China in 2018.
Kejiang Chen is an expert in the fields of information hiding. He is currently an associate researcher at School of Cyberspace Science and Technology, University of Science and Technology of China. He has received the best student paper award of ACM workshop on Information Hiding and Multimedia Security in 2018, ACM SIGWEB CHINA outstanding doctoral dissertation in 2021 and Cyberspace Security Scholarship of China in 2019. He has published more than 30 papers about information hiding in journals and conferences.
Zehua Ma is now a Ph.D. candidate in Information Process Center and Key Laboratory of Electromagnetic Space Information (Chinese Academy of Science), School of Information Science and Technology, University of Science and Technology of China. His research interests include image watermarking, image processing, and 3D printing.
Feng Wang is now an engineer at Megvii. He graduated from University of Science and Technology of China with a master degree. His research interests include geometric analysis and computer vision.
Weiming Zhang is a leading expert in the fields of information hiding, multimedia security, and privacy-preserving data searching and analysis. He is currently a Professor at the in Information Process Center and Key Laboratory of Electromagnetic Space Information (Chinese Academy of Science), School of Information Science and Technology, University of Science and Technology of China. He has published more than 200 papers in journals and conferences including TIT, TIFS, TIP, TVCG, TCOMM, TDSC, CVPR, ICCV, AAAI, INFOCOM and ACM MM. He has receive the first prize of Anhui natural science and the special prize for teaching achievement.
This book provides a systematic overview of watermarking and steganography methods for triangle meshes related to computer graphics and security. The significance of this research has been well recognized by the growing body of work on watermarking, steganography and steganalysis of 3D meshes. With the evolution of the CAD industry and real-world end-user applications such as virtual reality (VR) and 3D printing, 3D meshes have attracted world-wide attention. Besides, the flexible data structure of 3D geometry provides enough space to embed secret information, making it ideal for applications such as copyright protection and covert communication.Our goal of the book is to allow readers to systematically understand 3D mesh information hiding technology and its applications as a whole. The book outlines comprehensive techniques, including handcrafted and deep learning-based techniques, digital and physical techniques in the literature and provides standard evaluation metricsfor triangle meshes. The up-to-date geometrical deep learning and 3D printing-related algorithms are also covered. Offering a rich blend of ideas and algorithms, the book is up-to-date and self-contained. It is an excellent reference resource for users who are seeking 3D mesh watermarking and steganography algorithms, as well as for graduate students and researchers wanting to grasp the frontiers of triangular mesh processing on data hiding.
| Erscheint lt. Verlag | 31.1.2023 |
|---|---|
| Zusatzinfo | XXII, 184 p. 1 illus. |
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Grafik / Design |
| Informatik ► Netzwerke ► Sicherheit / Firewall | |
| Mathematik / Informatik ► Informatik ► Software Entwicklung | |
| Informatik ► Theorie / Studium ► Kryptologie | |
| Naturwissenschaften | |
| Schlagworte | Deep learning • steganalysis • Steganography • triangle mesh • Watermarking |
| ISBN-10 | 981-19-7720-8 / 9811977208 |
| ISBN-13 | 978-981-19-7720-6 / 9789811977206 |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
PDF (Wasserzeichen)Größe: 4,7 MB
DRM: Digitales Wasserzeichen
Dieses eBook enthält ein digitales Wasserzeichen und ist damit für Sie personalisiert. Bei einer missbräuchlichen Weitergabe des eBooks an Dritte ist eine Rückverfolgung an die Quelle möglich.
Dateiformat: PDF (Portable Document Format)
Mit einem festen Seitenlayout eignet sich die PDF besonders für Fachbücher mit Spalten, Tabellen und Abbildungen. Eine PDF kann auf fast allen Geräten angezeigt werden, ist aber für kleine Displays (Smartphone, eReader) nur eingeschränkt geeignet.
Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen dafür einen PDF-Viewer - z.B. den Adobe Reader oder Adobe Digital Editions.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen dafür einen PDF-Viewer - z.B. die kostenlose Adobe Digital Editions-App.
Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.
aus dem Bereich
