A novel semi-blind-and-semi-reversible robust watermarking scheme for 3D polygonal models

Chao-Hung Lin, Min Wen Chao, Chan Yu Liang, Tong-Yee Lee

研究成果: Article

7 引文 (Scopus)

摘要

We introduce a novel semi-blind-and-semireversible robust watermarking scheme for three-dimensional (3D) polygonal models. The proposed approach embeds watermarks in the significant features of 3D models in a spread-spectrum manner. This novel scheme is robust against a wide variety of attacks including rotation, translation, scaling, noise addition, smoothing, mesh simplifications, vertex reordering, cropping, and even pose deformation of meshes. To the best of our knowledge, the existing approaches including blind, semi-blind, and non-blind detection schemes cannot withstand the attack of pose editing, which is a very common routine in 3D animation. In addition, the watermarked models can be semi-reversed (i.e., the peak signal-to-noise ratio (PSNR) of the recovered models is greater than 90 dB in all experiments) in semi-blind detection scheme. Experimental results show that this novel approach has many significant advantages in terms of robustness and invisibility over other state-of-the-art approaches.

原文English
頁(從 - 到)1101-1111
頁數11
期刊Visual Computer
26
發行號6-8
DOIs
出版狀態Published - 2010 六月 1

指紋

Watermarking
Animation
Signal to noise ratio
Experiments

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design

引用此文

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abstract = "We introduce a novel semi-blind-and-semireversible robust watermarking scheme for three-dimensional (3D) polygonal models. The proposed approach embeds watermarks in the significant features of 3D models in a spread-spectrum manner. This novel scheme is robust against a wide variety of attacks including rotation, translation, scaling, noise addition, smoothing, mesh simplifications, vertex reordering, cropping, and even pose deformation of meshes. To the best of our knowledge, the existing approaches including blind, semi-blind, and non-blind detection schemes cannot withstand the attack of pose editing, which is a very common routine in 3D animation. In addition, the watermarked models can be semi-reversed (i.e., the peak signal-to-noise ratio (PSNR) of the recovered models is greater than 90 dB in all experiments) in semi-blind detection scheme. Experimental results show that this novel approach has many significant advantages in terms of robustness and invisibility over other state-of-the-art approaches.",
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A novel semi-blind-and-semi-reversible robust watermarking scheme for 3D polygonal models. / Lin, Chao-Hung; Chao, Min Wen; Liang, Chan Yu; Lee, Tong-Yee.

於: Visual Computer, 卷 26, 編號 6-8, 01.06.2010, p. 1101-1111.

研究成果: Article

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