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Some applications of Loop-subdivision wavelet tight frames to the processing of 3D graphics

机译:Loop细分小波紧框架在3D图形处理中的一些应用

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Multiresolution analysis based on subdivision wavelets is an important method of 3D graphics processing. Many applications of this method have been studied and developed, including denoising, compression, progressive transmission, multiresolution editing and so on. Recently Charina and Stockier firstly gave the explicit construction of wavelet tight frame transform for subdivision surfaces with irregular vertices, which made its practical applications to 3D graphics became a subject worthy of investigation. Based on the works of Charina and Stockier, we present in detail the wavelet tight frame decomposition and reconstruction formulas for Loop-subdivision scheme. We further implement the algorithm and apply it to the denoising, compression and progressive transmission of 3D graphics. By comparing it with the biorthogonal Loop-subdivision wavelets of Bertram, the numerical results illustrate the good performance of the algorithm. Since multiresolution analysis based on subdivision wavelets or subdivision wavelet tight frames requires the input mesh to be semi-regular, we also propose a simple remeshing algorithm for constructing meshes which not only have subdivision connectivity but also approximate the input mesh.
机译:基于细分小波的多分辨率分析是3D图形处理的重要方法。已经研究和开发了该方法的许多应用,包括降噪,压缩,逐行传输,多分辨率编辑等。最近,Charina和Stockier首先对具有不规则顶点的细分表面给出了小波紧框架变换的显式构造,这使其在3D图形中的实际应用成为值得研究的主题。基于Charina和Stockier的工作,我们详细介绍了Loop细分方案的小波紧帧分解和重构公式。我们进一步实现该算法,并将其应用于3D图形的降噪,压缩和渐进式传输。通过将其与Bertram的双正交回路细分小波进行比较,数值结果说明了该算法的良好性能。由于基于细分小波或细分小波紧帧的多分辨率分析要求输入网格是半规则的,因此我们还提出了一种简单的重新网格划分算法来构造不仅具有细分连通性而且近似输入网格的网格。

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