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Proceedings ArticleDOI

Generation of Secured 3D Polygonal Models Using Lazy Wavelet Transforms

16 Jul 2008-pp 38-43
TL;DR: The proposed watermarking is based on lazy wavelet transformation and MRR of the polygonal model, which aims to protect the copyright of 3D geometric models in CAD/CAM geometric models.
Abstract: Digital watermarking has been proposed to increase the digital data security, confidentiality and integrity. However in the area of CAD/CAM geometric models there are no effective ways to protect the copyright of 3D geometric models. As a first step to solve this problem a new novel watermarking method for 3D polygonal models is introduced. The proposed watermarking is based on lazy wavelet transformation and MRR of the polygonal model.
References
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Journal ArticleDOI
TL;DR: Whereas previous two-dimensional methods were restricted to functions difined on R2, the subdivision wavelets developed here may be applied to functions defined on compact surfaces of arbitrary topological type.
Abstract: Multiresolution analysis and wavelets provide useful and efficient tools for representing functions at multiple levels of detail. Wavelet representations have been used in a broad range of applications, including image compression, physical simulation, and numerical analysis. In this article, we present a new class of wavelets, based on subdivision surfaces, that radically extends the class of representable functions. Whereas previous two-dimensional methods were restricted to functions difined on R2, the subdivision wavelets developed here may be applied to functions defined on compact surfaces of arbitrary topological type. We envision many applications of this work, including continuous level-of-detail control for graphics rendering, compression of geometric models, and acceleration of global illumination algorithms. Level-of-detail control for spherical domains is illustrated using two examples: shape approximation of a polyhedral model, and color approximation of global terrain data.

825 citations

Book
01 Jan 1996
TL;DR: HAAR: The Simplest Wavelet Basis is presented and the theory of Multiresolution Analysis is explained.
Abstract: 1 Introduction 2 HAAR: The Simplest Wavelet Basis 3 Image Compression 4 Image Editing 5 Image Querying 6 Subdivision Curves 7 The Theory of Multiresolution Analysis 8 Multiresolution Curves 9 Multiresolution Tiling 10 Surface Wavelets 11 Surface Applications 12 Variational Modeling 13 Global Illumination

775 citations

Proceedings ArticleDOI
26 Oct 1997
TL;DR: An approach for still image watermarking is presented in which the watermark embedding process employs multiresolution fusion techniques and incorporates a model of the human visual system (HVS) to extract a watermark.
Abstract: We present an approach for still image watermarking in which the watermark embedding process employs multiresolution fusion techniques and incorporates a model of the human visual system (HVS). The original unmarked image is required to extract the watermark. Simulation results demonstrate the high robustness of the algorithm to such image degradations as JPEG compression, additive noise and linear filtering.

325 citations

Proceedings ArticleDOI
16 Sep 1996
TL;DR: A method for casting digital watermarks on images and its effectiveness is proposed and immunity to subsampling is examined and simulation results are provided for the verification of the above mentioned topics.
Abstract: Signature (watermark) casting on digital images is an important problem, since it affects many aspects of the information market. We propose a method for casting digital watermarks on images and we analyze its effectiveness. The satisfaction of some basic demands in this area is examined and a method for producing digital watermarks is proposed. Moreover, immunity to subsampling is examined and simulation results are provided for the verification of the above mentioned topics.

305 citations