Title: | New spectral decomposition for 3D polygonal meshes and its application to watermarking |
Authors: | Murotani, Kohei Sugihara, Kokichi |
Citation: | WSCG '2005: Full Papers: The 13-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2005 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech Republic, p. 95-102. |
Issue Date: | 2005 |
Publisher: | UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/wscg2005/Papers_2005/Full/!WSCG2005_Full_Proceedings_Final.pdf http://hdl.handle.net/11025/10957 |
ISBN: | 80-903100-7-9 |
Keywords: | singulární spektrální analýza;vodoznaky;3D polygonální mřížky;spektrální dekompozice |
Keywords in different language: | singulkar spectrum analysis;watermarking;3D polygonal meshes;spectral decomposition |
Abstract: | This paper present a generalization of a data analysis technique called a singular spectrum analysis (SSA). The original SSA is a tool for analyzing one-dimensional data such as time series, whereas our generalization is suitable for multi-dimensional data such as 3D polygonal meshes. One of applications of the proposed generalization are also shown. The application of the generalized SSA is a new robust watermarking method that adds a watermark to a 3D polygonal mesh. Watermarks embedded by our method are resistant to similarity transformations and random noises. Our method has the advantage in that it requires smaller calculation cost than other methods with nearly equal performance. |
Rights: | © UNION Agency |
Appears in Collections: | WSCG '2005: Full Papers |
Files in This Item:
File | Description | Size | Format | |
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Murotani.pdf | Plný text | 845,62 kB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/10957
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