挤压:快速和渐进的三角形网格解压

R. Pajarola, J. Rossignac
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引用次数: 50

摘要

理想的三角网格压缩技术将同时支持以下目标:(1)在解压缩过程中对接收到的网格进行逐步细化,(2)几何形状和连通性的压缩比接近最佳,(3)用于硬件或软件实现的在线实时解压缩算法。由于这三个目标施加了相互矛盾的约束,以前报道的工作主要集中在其中一个(有时是两个)目标上。本文中介绍的SQUEEZE技术同时解决了这三个约束,并试图提供最好的折衷方案。对于T三角形的网格,SQUEEZE将连接压缩到3.7T比特,这与迄今为止报道的最佳渐进式压缩技术相竞争。本文引入的几何预测误差编码技术使几何压缩比以前的方案提高了20%。我们在300 mhz CPU上的初始实现实现了高达每秒46,000个三角形的解压缩速率。通过许多连续的细化阶段,SQUEEZE下载一个模型,提供渐进的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
SQUEEZE: fast and progressive decompression of triangle meshes
An ideal triangle mesh compression technology would simultaneously support the following objectives: (1) progressive refinements of the received mesh during decompression, (2) nearly optimal compression ratios for both geometry and connectivity, and (3) in-line, real-time decompression algorithms for hardware or software implementations. Because these three objectives impose contradictory constraints, previously reported efforts have focused primarily on one (sometimes two) of these objectives. The SQUEEZE technique introduced in this paper addresses all three constraints simultaneously, and attempts to provide the best possible compromise. For a mesh of T triangles, SQUEEZE compresses the connectivity to 3.7T bits, which is competitive with the best progressive compression techniques reported so far. The geometric prediction error encoding technique introduced in this paper leads to a geometry compression that is improved by 20% over that of previous schemes. Our initial implementation on a 300-MHz CPU achieved a decompression rate of up to 46,000 triangles per second. SQUEEZE downloads a model through a number of successive refinement stages, providing the benefit of progressivity.
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