Geodesic-based robust blind watermarking method for three-dimensional mesh animation by using mesh segmentation and vertex trajectory

Jen Sheng Tsai, Jen Ting Hsiao, Win Bin Huang, Yau Hwang Kuo

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

Motion capture (mocap) data normally used to produce a three-dimensional (3D) mesh animation is exploited for watermarking. Copyright protection of the 3D mesh animation obtained is not guaranteed since identical joints in the mocap data are not distinguished easily. A novel robust blind watermarking method is proposed for the copyright protection of 3D mesh animations in the paper. At the beginning, the shape diameter function (SDF) method segments one frame of a 3D animation into several meaningful parts. A watermark is then embedded into these parts by adjusting the geodesic distances. Vertex trajectories are further exploited to modify the geodesic distribution of residual frames to be the same as that of the watermarked frame. Our experimental result demonstrates that the proposed method is able to resist the noise addition, similarity transformation, quantization, cropping, simplification, smoothing, and resampling attacks.

原文English
主出版物標題2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
頁面1757-1760
頁數4
DOIs
出版狀態Published - 2012 十月 23
事件2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
持續時間: 2012 三月 252012 三月 30

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(列印)1520-6149

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
國家Japan
城市Kyoto
期間12-03-2512-03-30

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • 引用此

    Tsai, J. S., Hsiao, J. T., Huang, W. B., & Kuo, Y. H. (2012). Geodesic-based robust blind watermarking method for three-dimensional mesh animation by using mesh segmentation and vertex trajectory. 於 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings (頁 1757-1760). [6288239] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). https://doi.org/10.1109/ICASSP.2012.6288239