Progressive geometry compression for meshes

Xinguo Liu, H. Bao, Qunsheng Peng, P. Heng, T. Wong, Hanqiu Sun
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引用次数: 4

Abstract

A novel progressive geometry compression scheme is presented in this paper. In this scheme, a mesh is represented as a base mesh followed by some groups of vertex split operations using an improved simplification method in which each level of the mesh can be refined into the next level by carrying out a group of vertex split operations in any order. Consequently, the progressive mesh (PM) representation can be effectively encoded by permuting the vertex split operations in each group. Meanwhile, a geometry predictor using the Laplacian operator is designed to predict each new vertex position using its neighbours. The correction is quantized and encoded using a Huffman coding scheme. Experimental results show that our algorithm obtains higher compression ratios than previous work. It is very suitable for the progressive transmission of geometric models over the Internet.
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网格的渐进几何压缩
提出了一种新的渐进几何压缩方案。在该方案中,一个网格被表示为一个基本网格,然后使用一种改进的简化方法进行几组顶点分割操作,其中每一层网格都可以通过按任何顺序执行一组顶点分割操作来细化到下一层。因此,渐进式网格(PM)表示可以通过在每组中排列顶点分割操作来有效地编码。同时,利用拉普拉斯算子设计了一个几何预测器,利用相邻顶点的位置来预测每个新顶点的位置。校正是量化的,并使用霍夫曼编码方案进行编码。实验结果表明,该算法比以往的算法获得了更高的压缩比。它非常适合于几何模型在互联网上的渐进式传输。
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