3D model watermarking algorithm robust to geometric attacks

Wang, Yinghui; Liu, Jing; Yang, Yajie; Ma, Douli; Liu, Ruijiao

doi:10.1049/iet-ipr.2016.0927

Cited by 16 publications

(9 citation statements)

References 24 publications

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“…The mean distance error between the original 3D triangle mesh and the watermarked 3D triangle mesh is very small (see Table 1). From Equation (14) and Table 1, we can see that the mean distance error is dependent on the number of watermarked feature points and the number of vertices. Table 1 shows the mean distance errors of the original models and the watermarked models.…”

Section: Invisibility Evaluationmentioning

confidence: 99%

“…If the mean Euclidean distance error is small, the invisibility of the proposed algorithm is high and vice versa. The mean Euclidean distance error , is the mean distance error of all distance errors and is calculated as shown in Equation (14). Table 1 shows the mean distance error between the watermarked 3D triangle mesh and the original 3D triangle mesh corresponding to test 3D triangle meshes.…”

Section: Invisibility 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%

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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: Invisibility Evaluationmentioning

confidence: 99%

Section: Invisibility 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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“…The food searching is a process of repeated iterations. Drosophila need to repeat the location of food odors and peer positions, change their location repeatedly, and find the best food location in the global range [3,20].…”

Section: Image Digital Watermarking Optimization Algorithm Based Onmentioning

confidence: 99%

Research on image digital watermarking optimization algorithm under virtual reality technology

Zhang¹,

Ma²

2019

Discrete &Amp; Continuous Dynamical Systems - S

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Aiming at the shortcomings of current algorithms due to the fixed steps, which is easy to fall into local optimum, with robustness and poor transparency, and cannot be balanced against various common attacks, an optimization algorithm of digital image watermarking algorithm based on Drosophila was proposed. In the support of the virtual reality technology, the original color host image was transformed from the RGB space to YCrCb space, and the pixel block of the Y component was divided into a certain size; according to the principle of forming DC coefficients in the DCT domain, the DC coefficient of each block is calculated directly in the airspace, and the amount of modification for each DC coefficient is determined based on the watermark information and the quantization step size; according to the distribution characteristics of DC coefficient, watermarks are embedded directly in the airspace; the type of digital watermarking and digital watermarking pretreatment methods were determined by using Drosophila optimization algorithm. At the same time, digital watermark embedding, extraction rules and initial steps were selected and identified. The Drosophila optimization algorithm with step size reduces the balance between global and local search ability, which makes up for the shortcomings of traditional algorithm. The experimental results showed that the proposed algorithm can effectively balance the invisibility and robustness of the watermark, and can resist all kinds of common attacks, which with a better visual extraction effect. 2010 Mathematics Subject Classification. 60J67.

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“…Therefore, avoiding unauthorised access and view to the DICOM imaging has become an important issue. Many techniques are used to protect secret images like encryption [1–12] and watermarking [13–16]. However, the capacity of watermarking techniques is limited, so to hide an image in another multimedia data, it is necessary that the size of the cover data will be multiple of the watermark data.…”

Section: Introductionmentioning

confidence: 99%

Securing DICOM images by a new encryption algorithm using Arnold transform and Vigenère cipher

2020

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This study presents a novel encryption method for the security of DICOM (Digital Imaging and Communications in Medicine) images used in medical applications. The proposed algorithm splits the original image into blocks of size 16 × 16 pixels, then encrypts it through three steps. Firstly, the keys k1, k2, k3 and k4 are transformed from four vectors of 16 pixels to a matrix of 16 × 16 pixels. Then, the proposed algorithm encrypts the image block‐by‐block using the Vigenère cipher algorithm. For each block, the proposed algorithm modifies the key using Arnold transform. The proposed encryption algorithm is scalable with colour images and JPEG (Joint Photographic Experts Group) compression. The cryptanalysis of the proposed algorithm demonstrates that it passed the cryptography attacks tests with success. Its running time shows that it is faster than a typical and recent image encryption algorithm.

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3D model watermarking algorithm robust to geometric attacks

Cited by 16 publications

References 24 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

Research on image digital watermarking optimization algorithm under virtual reality technology

Securing DICOM images by a new encryption algorithm using Arnold transform and Vigenère cipher

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