Statistical 3D watermarking algorithm using non negative matrix factorization

Nassima Medimegh, Samir Belaid, Mohamed Atri, Naoufel Werghi

Research output: Contribution to journalArticlepeer-review

4 Scopus citations


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 matrix X. 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.

Original languageBritish English
Pages (from-to)25889-25904
Number of pages16
JournalMultimedia Tools and Applications
Issue number35-36
StatePublished - 1 Sep 2020


  • 3D watermarking
  • Non negative matrix factorization
  • Statistical method


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