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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.
Table des matières
1. Introduction.- 2. Watermarking, steganography and steganalysis.- 3. 3D mesh watermakring techniques.- 4. 3D mesh steganography and steganalysis techniques.- 5. Conclusion and Future Work.
A propos de l'auteur
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 andconferences.
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.
