Secure 3D watermarking algorithm based on point set projection

Quan Liu; Xiaomei Zhang

doi:10.1117/12.774800

14 November 2007 Secure 3D watermarking algorithm based on point set projection

Quan Liu, Xiaomei Zhang

Proceedings Volume 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications; 67904R (2007) https://doi.org/10.1117/12.774800
Event: International Symposium on Multispectral Image Processing and Pattern Recognition, 2007, Wuhan, China

Abstract

3D digital models greatly facilitate the distribution and storage of information. While its copyright protection problems attract more and more research interests. A novel secure digital watermarking algorithm for 3D models is proposed in this paper. In order to survive most attacks like rotation, cropping, smoothing, adding noise, etc, the projection of the model's point set is chosen as the carrier of the watermark in the presented algorithm, in which contains the copyright information as logos, text, and so on. Then projection of the model's point set onto x, y and z plane are calculated respectively. Before watermark embedding process, the original watermark is scrambled by a key. Each projection is singular value decomposed, and the scrambled watermark is embedded into the SVD(singular value decomposed) domain of the above x, y and z plane respectively. After that we use the watermarked x, y and z plane to recover the vertices of the model and the watermarked model is attained. Only the legal user can remove the watermark from the watermarked models using the private key. Experiments are presented in the paper to show that the proposed algorithm has good performance on various malicious attacks.

Citation Download Citation

Quan Liu and Xiaomei Zhang "Secure 3D watermarking algorithm based on point set projection", Proc. SPIE 6790, MIPPR 2007: Remote Sensing and GIS Data Processing and Applications; and Innovative Multispectral Technology and Applications, 67904R (14 November 2007); https://doi.org/10.1117/12.774800

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available