An Illustrative Visualization Framework for 3D Vector Fields
An Illustrative Visualization Framework for 3D Vector Fields
复制标题
3D 矢量场的说明性可视化框架
DOI：
10.1111/j.1467-8659.2011.02064.x
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发表时间：
2011
影响因子：
2.5
通讯作者：
K. Ma
中科院分区：
文献类型：
--
作者：
Cheng;Shi Yan;Hongfeng Yu;N. Max;K. Ma
大多数三维矢量场可视化技术都存在视觉杂乱的问题，如何有效地传达三维矢量场的方向和结构信息一直是一个具有挑战性的任务。在本文中，我们提出了一种新的可视化框架，它结合了聚类方法和说明性渲染技术的优点，以生成复杂流结构的简洁和信息描述。给定一个三维矢量场，我们首先基于熵测量生成一些覆盖重要区域的流线。然后根据向量信息的分类将流线分解成不同的组，保证每组流线的流线模式是一致的或接近一致的。对于每一组，我们选择了一组具有代表性的流线，并以说明性的方式渲染它们，以增强深度线索并简洁地显示局部流动特征。结果表明，我们的方法可以生成相对没有视觉杂乱的可视化，同时促进对复杂向量场显著信息的感知。
Most 3D vector field visualization techniques suffer from the problem of visual clutter, and it remains a challenging task to effectively convey both directional and structural information of 3D vector fields. In this paper, we present a novel visualization framework that combines the advantages of clustering methods and illustrative rendering techniques to generate a concise and informative depiction of complex flow structures. Given a 3D vector field, we first generate a number of streamlines covering the important regions based on an entropy measurement. Then we decompose the streamlines into different groups based on a categorization of vector information, wherein the streamline pattern in each group is ensured to be coherent or nearly coherent. For each group, we select a set of representative streamlines and render them in an illustrative fashion to enhance depth cues and succinctly show local flow characteristics. The results demonstrate that our approach can generate a visualization that is relatively free of visual clutter while facilitating perception of salient information of complex vector fields.