Simple 3D glyphs for spatial multivariate data
Simple 3D glyphs for spatial multivariate data
复制标题
空间多元数据的简单 3D 字形
DOI：
10.1109/infovis.2005.31
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
M. Lind
中科院分区：
文献类型：
--
作者：
C. Forsell;S. Seipel;M. Lind
我们提出了一种新类型的3D字形用于多变量空间数据可视化的可能用途的评估。它们基于视觉研究的结果，该结果表明，相对于我们面前的实际场景，我们对度量3D结构的感知是扭曲和不精确的(例如，M.Lind等人的《可视化中的度量3D结构》。(2003))；只有场景的一类定性属性才能被准确感知。这些性质最好的特征是在仿射变换上是不变的，但不是欧几里得变换。它们与Lowe在《知觉组织和视觉识别》(1984)中所描述的非偶然性(NAP)相关，但与I.Biederman(1987)在其《Recognition by Components-A Theology of Image Undering》(按组件识别--图像理解理论)中所描述的非偶然性(NAP)相关。可以使用这样的属性来构建用于空间数据可视化的大量可能的3D字形。一组基于曲面曲率的局部符号。我们在可视化实验中研究了这些性质。结果是有希望的，并对可视化的意义进行了讨论。
We present an effort to evaluate the possible utility of a new type of 3D glyphs intended for visualizations of multivariate spatial data. They are based on results from vision research suggesting that our perception of metric 3D structure is distorted and imprecise relative to the actual scene before us (e.g., "metric 3D structure in visualizations" by M. Lind et al. (2003)); only a class of qualitative properties of the scene is perceived with accuracy. These properties are best characterized as being invariant over affine but not Euclidean transformations. They are related, but not identical to, the non-accidental properties (NAPs) described by Lowe in "perceptual organization and visual recognition" (1984) on which the notion of geons is based in "recognition by components - a theory of image understanding" by I. Biederman (1987). A large number of possible 3D glyphs for the visualization of spatial data can be constructed using such properties. One group is based on the local sign of surface curvature. We investigated these properties in a visualization experiment. The results are promising and the implications for visualization are discussed.