在有损网络上流式传输的3D渐进网格的分组

Yan Gu, Wei Tsang Ooi
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引用次数: 11

摘要

本文考虑了累进三维几何模型在有损网络上的分组问题。我们采用图论方法对渐进式3D模型的分组建模,目标是最小化分组之间的依赖关系。我们证明了这种打包问题是强np完全的,并提出了两种打包启发式方法。我们的实验表明,两种启发式方法都比朴素方法表现得更好。特别是,当网络有损耗时,贪婪打包启发式算法在渲染节点数量上产生了显著的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Packetization of 3D progressive meshes for streaming over lossy networks
In this paper, we consider the problem of packetizing progressive 3D geometry models for streaming over a lossy network. We adopt a graph-theoretic approach to model packetization of progressive 3D models, with the goal of minimizing dependencies among packets. We show that this packetization problem is strongly NP-complete, and we propose two packing heuristics. Our experiments show that both heuristics perform better than the naive method. In particular, the greedy packing heuristic produces significant improvement in the number of rendered nodes when the network is lossy.
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