Out-of-Core Progressive Lossless Compression and Selective Decompression of Large Triangle Meshes

Zhiyan Du, Pavel Jaromersky, Yi-Jen Chiang, N. Memon
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引用次数: 11

Abstract

In this paper we propose a novel {\em out-of-core} technique for{\em progressive} lossless compression and {\em selective}decompression of 3D triangle meshes larger than main memory. Most existing compression methods, in order to optimize compression ratios, only allow {\em sequential} decompression. We develop an integrated approach that resolves the issue of so-called {\emprefix dependency} to support {\em selective} decompression, and in addition enables I/O-efficient compression, while maintaining high compression ratios. Our decompression scheme initially provides a global context of the entire mesh at a coarse resolution, and allows the user to select different {\em regions of interest} to further decompress/refine to {\bf different}levels of details, to facilitate out-of-core multiresolution rendering for interactive visual inspection. We present experimental results which show that we achieve fast compression/decompression times and low memory footprints, with compression ratios comparable to current out-of-core {\em single resolution} methods.
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大型三角形网格的核外渐进式无损压缩和选择性解压缩
本文提出了一种新颖的{\em出核}技术,用于大于主存储器的三维三角形网格的{\em渐进}无损压缩和{\em选择性}解压缩。大多数现有的压缩方法,为了优化压缩比,只允许{\em顺序}解压缩。我们开发了一种集成的方法,解决了所谓的{\emprefix依赖}问题,以支持{\emprefix选择性}解压缩,此外还支持I/ o高效压缩,同时保持高压缩比。我们的解压缩方案最初以粗分辨率提供整个网格的全局上下文,并允许用户选择不同的{\em感兴趣的区域}进一步解压缩/细化到{\bf不同的}个细节级别,以促进核心外的多分辨率渲染以进行交互式视觉检查。我们提出的实验结果表明,我们实现了快速的压缩/解压缩时间和低内存占用,压缩比可与当前的外核(\em单分辨率)方法相媲美。
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