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

Research output: Contribution to journalArticle

7 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1101-1111
Number of pages11
JournalVisual Computer
Volume26
Issue number6-8
DOIs
Publication statusPublished - 2010 Jun 1

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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

Cite this

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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.

In: Visual Computer, Vol. 26, No. 6-8, 01.06.2010, p. 1101-1111.

Research output: Contribution to journalArticle

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