Visualizing features and tracking their evolution
Visualizing features and tracking their evolution
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DOI：
10.1109/2.299407
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发表时间：
1994-07
期刊：
影响因子：
2.2
通讯作者：
R. Samtaney;D. Silver;N. Zabusky;Jim Cao
中科院分区：
文献类型：
--
作者：
R. Samtaney;D. Silver;N. Zabusky;Jim Cao
我们描述的基本算法提取相干的无定形区域（功能或对象）从2和3D标量和矢量场，然后跟踪他们在一系列连续的时间步长。我们使用计算机视觉，图像处理，计算机图形学和计算几何的技术相结合，并将其应用于计算流体动力学的数据集。我们展示了这些技术如何减少视觉混乱，并提供了量化可观察到的现象的第一步。这些结果可以推广到其他学科与连续时间相关的标量（和矢量）场。
We describe basic algorithms to extract coherent amorphous regions (features or objects) from 2 and 3D scalar and vector fields and then track them in a series of consecutive time steps. We use a combination of techniques from computer vision, image processing, computer graphics, and computational geometry and apply them to data sets from computational fluid dynamics. We demonstrate how these techniques can reduce visual clutter and provide the first step to quantifying observable phenomena. These results can be generalized to other disciplines with continuous time-dependent scalar (and vector) fields.>