The application of transport theory to visualization of 3D scalar data fields
The application of transport theory to visualization of 3D scalar data fields
复制标题
传输理论在 3D 标量数据场可视化中的应用
DOI：
10.1109/visual.1990.146391
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发表时间：
1990
期刊：
影响因子：
--
通讯作者：
W. Krüger
中科院分区：
文献类型：
--
作者：
W. Krüger
本文提出了一种基于线性输运理论的三维标量数据场可视化模型。提出了从数据场中提取信息的虚拟粒子的概念。不同类型的相互作用的数据字段与这些粒子，如吸收，散射，源和颜色偏移的作用进行了讨论和论证。特别注意可能的工具，以增强有趣的数据功能。随机纹理化可以提供关于相关数据字段的偏差的幅度和分布的视觉洞察，例如，来源于分析模型和测量，或者在给定数据字段的噪声内容中。数据集的隐藏对称性通常可以通过允许它与预选的物理粒子束相互作用来视觉识别，并伴随着特征结构效应的出现，例如沟道效应。<<ETX>>
The author describes a visualization model for three-dimensional scalar data fields based on linear transport theory. The concept of virtual particles for the extraction of information from data fields in introduced. The role of different types of interaction of the data field with those particles such as absorption, scattering, source and color shift are discussed and demonstrated. Special attention is given to possible tools for the enhancement of interesting data features. Random texturing can provide visual insights as to the magnitude and distribution of deviations of related data fields, e.g., originating from analytic models, and measurements, or in the noise content of a given data field. Hidden symmetries of a data set can often be identified visually by allowing it to interact with a preselected beam of physical particles with the attendant appearance of characteristic structural effects such as channeling.<<ETX>>
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影响因子：
4.4
作者：
Ledolter,Johannes;Gramlich,OliverW;Kardon,RandyH
通讯作者：
Kardon,RandyH