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Statistical 3D watermarking algorithm using non negative matrix factorization
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DOI：10.1007/s11042-020-09241-6.png)
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Abstract
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In this paper, we propose a robust blind watermarking method for 3D object based on Non Negative Matrix Factorization (NMF). Our main idea is to use the NMF basis matrix guide the watermark embedding. We first segment the model into partitions based on its salient points. Then, we apply NMF algorithm to the vertex norms. The distribution of vertex is grouped into bins according to the basis matrixX. Finally, we insert watermark bits in the vertex norm distribution. Experimental results demonstrate that the proposed method achieved good visual quality and also robustness against various attacks.
Keywords:
3D watermarking
Statistical method
Non negative matrix factorization
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