(Nonrectangular Wavelets for Multiresolution Mesh Analysis and Compression)

Kıvan¸c K¨ose, A. Enis, C¸etin, Uˇgur G¨ud¨ukbay, L. Onural
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引用次数: 5

Abstract

We propose a new set partitioning in hierarchical trees (SPIHT) based mesh compression framework. The 3D mesh is first transformed to 2D images on a regular grid structure. Then, this image-like representation is wavelet transformed and SPIHT is applied on the wavelet domain data. The method is progressive because the resolution of the reconstructed mesh can be changed by varying the length of the one-dimensional data stream created by SPIHT algorithm. Nearly perfect reconstruction is possible if all of the data stream is received
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(用于多分辨率网格分析和压缩的非矩形小波)
提出了一种新的基于分层树的网格压缩框架(SPIHT)。首先将三维网格转换为规则网格结构上的二维图像。然后,对这种类图像表示进行小波变换,并对小波域数据进行SPIHT处理。通过改变SPIHT算法生成的一维数据流的长度,可以改变重构网格的分辨率,因此该方法具有进步性。如果接收到所有的数据流,几乎完美的重建是可能的
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