Blind 3D Model Watermarking based on Multi-Resolution Representation and Fuzzy Logic

Tamane, Sharvari

doi:10.5121/ijcsit.2012.4110

Cited by 8 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Thus, the fuzzy perceptual mask combines all these non-linear variables to build a simple, easy to use HVS (human visual systems) model. Results showed that the system is robust against affine transformations, smoothing, cropping, and noise attacks [5]. Another blind watermarking scheme based on volume moments was introduced by Wang, et al [6].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Watermarking Scheme for 3D Mesh Models

Basyoni

Saleh²,

Abdelhalim³

2015

The 7th International Conference on Information Technology

View full text Add to dashboard Cite

In this paper we present a new non-blind watermarking scheme for 3D graphical o b j e c t s (meshes). Non-blind watermarking scheme is known to be more secure than blind ones, since the original and watermarked models are needed for extraction. In our scheme we use the model's prominent feature points to divide the model into separate segments, these feature segments are then projected from 3D representation to the 3 main 2D-Planes. The watermark embedding is done in frequency domain of these projections. The experimental results showed the robustness of this scheme against various mesh attacks (mesh simplification, subdivision, smoothing, cropping, etc). T his scheme also allows quite large payload to embed. The results of the proposed scheme showed average of 50 percent improvement in robustness against geometry attacks, and up to 70 percent against connectivity attacks.

show abstract

Section: Introductionmentioning

confidence: 99%

Enhanced Watermarking Scheme for 3D Mesh Models

Basyoni

Saleh²,

Abdelhalim³

2015

The 7th International Conference on Information Technology

View full text Add to dashboard Cite

show abstract

“…Previously, there have been many watermarking methods proposed for 3D mesh models [4][5][6][7][8][9][10][11][12][13][14]. However, these methods are only useful for the copyright protection of 3D content or visual applications that use 3D content.…”

Section: Introductionmentioning

confidence: 99%

A 3D Printing Model Watermarking Algorithm Based on 3D Slicing and Feature Points

et al. 2018

View full text Add to dashboard Cite

Abstract:With the increase of three-dimensional (3D) printing applications in many areas of life, a large amount of 3D printing data is copied, shared, and used several times without any permission from the original providers. Therefore, copyright protection and ownership identification for 3D printing data in communications or commercial transactions are practical issues. This paper presents a novel watermarking algorithm for 3D printing models based on embedding watermark data into the feature points of a 3D printing model. Feature points are determined and computed by the 3D slicing process along the Z axis of a 3D printing model. The watermark data is embedded into a feature point of a 3D printing model by changing the vector length of the feature point in OXY space based on the reference length. The x and y coordinates of the feature point will be then changed according to the changed vector length that has been embedded with a watermark. Experimental results verified that the proposed algorithm is invisible and robust to geometric attacks, such as rotation, scaling, and translation. The proposed algorithm provides a better method than the conventional works, and the accuracy of the proposed algorithm is much higher than previous methods.

show abstract

“…3D watermarking schemes are generally focused on geospatial domain and frequency domain [4][5][6][7][8][9][10][11][12][13][14][15][16][17]. The main concept of watermarking methods in the geospatial domain is to embed the watermark by modifying the value of vertices or geometric features as length, area or topology features while the main concept of watermarking schemes in the frequency domain is to embed the watermark in the spectrum coefficients of DFT, DWT, and DCT of a sequence of vertices or topologies.…”

Section: D Model Watermarkingmentioning

confidence: 99%