首页> 外文会议>Visualization Conference >Compressing large polygonal models
【24h】

Compressing large polygonal models

机译:压缩大多边形模型

获取原文

摘要

We present an algorithm that uses partitioning and gluing to compress large triangular meshes which are too complex to fit in main memory. The algorithm is based largely on the existing mesh compression algorithms, most of which require an 'in-core' representation of the input mesh. Our solution is to partition the mesh into smaller submeshes and compress these submeshes separately using existing mesh compression techniques. Since a direct partition of the input mesh is out of question, instead, we partition a simplified mesh and use the partition on the simplified model to obtain a partition on the original model. In order to recover the full connectivity, we present a simple scheme for encoding/decoding the resulting boundary structure from the mesh partition. When compressing large models with few singular vertices, a negligible portion of the compressed output is devoted to gluing information. On desktop computers, we have run experiments on models with millions of vertices, which could not be compressed using standard compression software packages, and have observed compression ratios as high as 17 to 1 using our technique.
机译:我们介绍了一种使用分区和粘合的算法来压缩大三角网格,这太复杂以适合主存储器。该算法主要基于现有网格压缩算法,其中大多数需要输入网格的“核心”表示。我们的解决方案是将网格分区为较小的子表,并使用现有的网格压缩技术单独压缩这些子表。由于输入网格的直接分区不存在问题,而是我们分区简化的网格并在简化模型上使用分区以在原始模型上获取分区。为了恢复完整的连接,我们呈现了一种用于从网状分区编码/解码所得到的边界结构的简单方案。当用几个奇异顶点压缩大型型号时,旨在忽略压缩输出的可忽略部分以粘合信息。在桌面计算机上,我们在具有数百万顶点的模型上运行实验,该模型无法使用标准压缩软件包压缩,并且使用我们的技术观察到压缩比高达17比1。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号