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Constrained optimisation of 3D polygonal mesh watermarking by quadratic programming

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Hu, R. Rondao-Alface, P. Macq, Benoît [UCL]

In this paper, we propose a blind and robust watermarking method for 3D polygonal meshes by minimising the mean square error between the original mesh and the watermarked mesh under several constraints. We have formulated the problem of assigning distortions to points in a 3D mesh to a quadratic programming problem, so it can be solved reliably and efficiently. Comparing with similar approaches in [1], experiments indicate the advantages of our method in resisting Gaussian noise.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Publication date 2009
Conference "ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing", Taipei, Taiwan (19-24 April 2009)
Peer reviewed yes
Host document "ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing"- p. 1501-1504 (ISBN : 978-1-4244-2353-8)
Publisher IEEE
Affiliation UCL
Links
Bibliographic reference Hu, R. ; Rondao-Alface, P. ; Macq, Benoît. Constrained optimisation of 3D polygonal mesh watermarking by quadratic programming.ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing (Taipei, Taiwan, 19-24 April 2009). In: ICASSP 2009 - 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, IEEE2009, p. 1501-1504
Permanent URL http://hdl.handle.net/2078.1/67606