Ieee Transactions on Visualization and Computer Graphics 1 Large Datasets at a Glance: Combining Textures and Colors in Scientiic Visualization
Ieee Transactions on Visualization and Computer Graphics 1 Large Datasets at a Glance: Combining Textures and Colors in Scientiic Visualization
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通讯作者：
Christopher G. Healey;James T. Enns
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作者：
Christopher G. Healey;James T. Enns
| 本文提出了一种新的方法，使用纹理和颜色可视化多元数据元素排列在一个潜在的高度字段。我们将联合收割机简单的纹理模式与感知上均匀的颜色相结合，以增加我们可以同时显示的属性值的数量。我们的技术构建了多色感知纹理元素（或像素）来表示每个数据元素。元素中编码的属性值用于改变其像素的外观。当像素被显示时形成的纹理和颜色模式可以用于快速和准确地探索数据集。我们的像素是通过改变三个独立的纹理维度构建的：高度、密度和规则性。计算机图形学、计算机视觉和人类视觉心理物理学的结果已经确定这些维度对于感知纹理模式的形成是重要的。使用控制色距、线性分离和颜色类别的选择技术对像素进行着色。正确使用这些标准可以保证颜色彼此之间具有同等的区别。我们描述了一组对照实验，证明我们的纹理尺寸和颜色选择标准的有效性。然后，我们讨论新的工作，研究如何纹理和颜色可以同时在一个单一的显示。结果表明，高度和密度的变化对颜色分割没有影响，但随机颜色模式会干扰纹理分割。随着视觉检测任务难度的增加，颜色对纹理干扰的数量也会增加。最后，我们展示了我们的方法的适用性，一个现实世界的问题，在东南亚的台风条件的跟踪。
| This paper presents a new method for using texture and color to visualize multivariate data elements arranged on an underlying height eld. We combine simple texture patterns with perceptually uniform colors to increase the number of attribute values we can display simultaneously. Our technique builds multicolored perceptual texture elements (or pexels) to represent each data element. Attribute values encoded in an element are used to vary the appearance of its pexel. Texture and color patterns that form when the pexels are displayed can be used to rapidly and accurately explore the dataset. Our pexels are built by varying three separate texture dimensions: height, density, and regularity. Results from computer graphics, computer vision, and human visual psychophysics have identiied these dimensions as important for the formation of perceptual texture patterns. The pexels are colored using a selection technique that controls color distance, linear separation, and color category. Proper use of these criteria guarantees colors that are equally distinguishable from one another. We describe a set of controlled experiments that demonstrate the eeectiveness of our texture dimensions and color selection criteria. We then discuss new work that studies how texture and color can be used simultaneously in a single display. Our results show that variations of height and density have no eeect on color segmentation, but that random color patterns can interfere with texture segmentation. As the diiculty of the visual detection task increases, so too does the amount of color on texture interference increase. We conclude by demonstrating the applicability of our approach to a real-world problem, the tracking of typhoon conditions in Southeast Asia.