Triangle Surface Mesh Watermarking Based on a Constrained Optimization Framework

Rolland-Neviere, Xavier; Doerr, Gwenaël; Alliez, Pierre

doi:10.1109/tifs.2014.2336376

Cited by 36 publications

(31 citation statements)

References 22 publications

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“…The accuracy of Mona's method is decreased from 99.30% to 81.92% with noises that have ratios of 0.1%, 0.3%, and 0.5%. In Rolland's method [10], he experimented with 13 models with noises that have ratios of 0.1%, 1%, and 5%, respectively. The accuracy of Rolland method is decreased from 98% to approximately 53%.…”

Section: Robustness Evaluationmentioning

confidence: 99%

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

et al. 2018

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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.

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Section: Robustness Evaluationmentioning

confidence: 99%

“…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

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“…Another multi-scale roughness estimation measure was computed by Corsini et al [5], where roughness per vertex is computed by making statistical considerations about the dihedral angles. The later measure is a variation of the previous termed as 3DWPM2 used by watermarking algorithms [11,20,17]. The per vertex roughness is computed as shown in equation 14.…”

Section: Dihedral Angle Based Measuresmentioning

confidence: 99%

Evaluation Metrics used in 3D Mesh Watermarking: A Study

Borah¹,

Borah²

2017

IJSIA

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“…Neviere et al have proposed a new watermarking method for 3D triangular mesh, a constraint optimization framework to perform the watermarking [5]. This method also uses complex computation because it needs the input that has been previously optimized and this method has not been implemented to the data from the Kinect sensor.…”

Section: Introductionmentioning

confidence: 99%

Discrete Wavelet Transform for Watermarking Three-Dimensional Triangular Meshes from a Kinect Sensor

Wibowo¹,

Kim²,

Kim

2014

International Journal of Fuzzy Logic and Intelligent Systems

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We present a simple method to watermark three-dimensional (3D) triangular meshes that have been generated from the depth data of the Kinect sensor. In contrast to previous methods, which maintain the shape of 3D triangular meshes and decide the embedding place, requiring calculations of vertices and their neighbors, our method is based on selecting one of the coordinate axes. To maintain shape, we use discrete wavelet transform and constant regularization. We know that the watermarking system needs the information to be embedded; we used a text to provide that information. We used geometry attacks such as rotation, scales, and translation, to test the performance of this watermarking system. Performance parameters in this paper include the vertices error rate (VER) and bit error rate (BER). The results from the VER and BER indicate that using a correction term before the extraction process makes our system robust to geometry attacks.

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Triangle Surface Mesh Watermarking Based on a Constrained Optimization Framework

Cited by 36 publications

References 22 publications

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

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

Evaluation Metrics used in 3D Mesh Watermarking: A Study

Discrete Wavelet Transform for Watermarking Three-Dimensional Triangular Meshes from a Kinect Sensor

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