基于插值的粒子b样条曲线路径跟踪

Haoyu Li, Tianyu Xiong, Han-Wei Shen
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引用次数: 1

摘要

通过数值积分的粒子跟踪是一种众所周知的生成可视化路径的方法。然而,对于粒子模拟,路径的计算是昂贵的,因为插值方法由于缺乏连接信息而变得复杂。以前的研究利用k-d树来减少邻域搜索的时间。然而,效率仍然受到跟踪时间步长的限制。因此,我们提出了一种新的基于插值的粒子跟踪方法,该方法首先将粒子数据表示为b样条曲线,然后插值b样条控制点以减少插值时间步数。结果表明,该方法在较短的计算时间内实现了较好的跟踪精度。
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Efficient Interpolation-based Pathline Tracing with B-spline Curves in Particle Dataset
Particle tracing through numerical integration is a well-known approach to generating pathlines for visualization. However, for particle simulations, the computation of pathlines is expensive, since the interpolation method is complicated due to the lack of connectivity information. Previous studies utilize the k-d tree to reduce the time for neighborhood search. However, the efficiency is still limited by the number of tracing time steps. Therefore, we propose a novel interpolation-based particle tracing method that first represents particle data as B-spline curves and interpolates B-spline control points to reduce the number of interpolation time steps. We demonstrate our approach achieves good tracing accuracy with much less computation time.
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