Proceedings Article10.1109/ICSAP.2010.83
Watermark Embedder Optimization for 3D Mesh Objects Using Classification Based Approach
Rakhi C. Motwani,Mukesh C. Motwani,Bobby D. Bryant,Frederick C. Harris,Akshata S. Agarwal +4 more
- 09 Feb 2010
- pp 125-129
TL;DR: A novel 3D mesh watermarking scheme that utilizes a support vector machine(SVM) based classifier for watermark insertion that is evaluated experimentally by simulating attacks such as mesh smoothing, cropping and noise addition.
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Abstract: This paper presents a novel 3D mesh watermarking scheme that utilizes a support vector machine(SVM) based classifier for watermark insertion. Artificial intelligence(AI)based approaches have been employed by watermarking algorithms for various host mediums such as images, audio, and video. However, AI based techniques are yet to be explored by researchers in the 3D domain for watermark insertion and extraction processes. Contributing towards this end, the proposed approach employs a binary SVM to classify vertices as appropriate or inappropriate candidates for watermark insertion. The SVM is trained with feature vectors derived from the curvature estimates of a 1-ring neighborhood of vertices taken from normalized 3D meshes. A geometry-based non-blind approach is used by the watermarking algorithm. The robustness of proposed technique is evaluated experimentally by simulating attacks such as mesh smoothing, cropping and noise addition.
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Citations
A blind 3D watermarking approach for 3D Mesh using Clustering Based Methods
TL;DR: Through the simulations, the authors prove that the proposed approach is robust against various kinds of geometrical attacks such as mesh smoothing, noise addition and mesh cropping.
20
Robust watermarking approach for 3D triangular mesh using self organization map
Mona M. Soliman,Aboul Ella Hassanien,Hoda M. Onsi +2 more
- 01 Nov 2013
TL;DR: The objective of this paper is to explore innovative ways to insert the maximum amount of secret information into 3D mesh models without causing perceptual distortion and also make it difficult for the attacker to guess where the watermark was inserted.
14
•Dissertation
Third generation 3d watermarking: applied computational intelligence techniques
Frederick C. Harris,Mukesh C. Motwani +1 more
- 01 Jan 2011
TL;DR: This dissertation explores use of computational intelligence techniques to build third generation watermarking algorithms, that insert robust, high amount of watermark and go the extra mile in terms of hiding more information than the first and second generation techniques.
7
Robust Blind Digital 3D Model Watermarking Algorithm Using Mean Curvature
Zainab N. Al-Qudsy,Shaimaa H. Shaker,Nazhat Saeed Abdulrazzque +2 more
- 02 Oct 2018
TL;DR: This work shows that the mean curvature (MC) has an important feature that can be used to classify the surface points and improve the imperceptibility and robustness of the watermarking algorithm.
7
High embedding capacity in 3D model using intelligent Fuzzy based clustering
TL;DR: HE-IFCM is successful in embedding large capacity of watermark data resulting in minimal distortion and efficiency of optimized cluster segmentation is evaluated and compared with other optimization algorithms.
4
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