A non-blind robust watermarking approach for 3D mesh models
Neveen I. Ghali
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This paper presents non-blind and robust watermarking approach for three-dimensional (3D) mesh models using K-means clustering technique. K-means clustering technique is used to cluster 3D mesh vertices into suitable or non-suitable watermark carrier based on feature vector. Then the watermark is inserted in the selected vertices for being carrier watermark that come out from K-means clustering technique and the other vertices are ignored. The watermark insertion is done by modifying the vertex position without causing perceptible distortion to 3D mesh models. Experimental results show that our watermarking approach is imperceptible and robust against different geometric attacks such as noise addition, cropping and mesh smoothing.
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