分布式可视化中多边形模型的简化

Hessah Alsaaran, M. Hussain
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引用次数: 0

摘要

目前,多边形模型被广泛用于三维信息的表示和可视化。多边形模型的巨大尺寸和有限的互联网带宽对它们在分布式环境中的可视化构成了威胁。采用简化模型和细化补丁组成的流网格来克服这一问题。在该方法中,简化方法和细化补丁的数据结构起着至关重要的作用。通过距离度量和正态场偏差,提出了一种新的误差度量,忠实地简化了多边形模型,并为改进补丁引入了更有效的数据结构。我们使用Java实现流网格。与现有方法的比较表明,本文提出的方法在某些情况下可以得到质量更好的lod,并且新的数据结构可以加速改进过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simplification of Polygonal Models for Distributed Visualization
Currently, polygonal models are widely used for the representation and visualization of 3D information. The sheer sizes of polygonal models and the limited internet bandwidth put a threat to their visualization in a distributed environment. Streaming mesh, which consists of a simplified model and refinement patches, is used to overcome this problem. Simplification method and the data structures for refinement patches play crucial role in this approach. By employing distance measure and normal field deviation, we propose a new error measure to faithfully simplify polygonal models, and introduce more efficient data structures for refinement patches. We implement the streaming mesh using Java. Comparison with the state-of-the-art methods reveals that the proposed method results in better quality LODs in some cases, and the new data structures for refinement patches accelerate the refinement process.
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