MATHEMATICAL ENGINEERING TECHNICAL REPORTS Generalized SSA and Its Applications to Watermarking 3D Polygonal Meshes
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چکیده
This paper presents a generalization of the singular spectrum analysis (SSA) and applies it to the construction of a new robust watermarking method that adds a watermark to a 3D polygonal mesh in the spectral domain. The SSA is originally designed as a tool for analyzing one-dimensional sequence such as time series, and hence it is not suitable for multi-dimensional data. In order to overcome this difficulty, we generalize the basic SSA in such a way that it can be used for the 3D polygonal meshes. Watermarks embedded by this method are resistant to similarity transformations and random noises.
منابع مشابه
New Spectral Decomposition for 3D Polygonal Meshes and its Application for Watermarking
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 ...
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تاریخ انتشار 2004