Name
Abstract | ||
|---|---|---|
This paper presents a new method for using texture to visualize multidimensional data elements arranged on an underlying three-dimensional height field. We hope to use simple texture patterns in combination with other visual features like hue and intensity to increase the number of attribute values we can display simultaneously. Our technique builds perceptual texture elements (or pexels) to represent each data element. Attribute values encoded in the data element are used to vary the appearance of a corresponding pexel. Texture patterns that form when the pexels are displayed can be used to rapidly and accurately explore the dataset. Our pexels are built by controlling three separate texture dimensions: height, density, and regularity. Results from computer graphics, computer vision, and cognitive psychology have identified these dimensions as important for the formation of perceptual texture patterns. We conducted a set of controlled experiments to measure the effectiveness of these dimensions, and to identify any visual interference that may occur when all three are displayed simultaneously at the same spatial location. Results from our experiments show that these dimensions can be used in specific combinations to form perceptual textures for visualizing multidimensional datasets. We demonstrate the effectiveness of our technique by applying it to two real-world visualization environments: tracking typhoon activity in southeast Asia, and analyzing ocean conditions in the northern Pacific. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1145/288216.288232 | IEEE Visualization 2003 |
Keywords | Field | DocType |
computer graphic,oceanography,perception,cognitive psychology,human factors,computer graphics,data visualisation,computer vision,psychology,scientific visualization,storms,density,visual perception,texture,image texture,typhoon,intensity,experimental design,hue,visualization,three dimensional | Computer vision,Data visualization,Image texture,Visualization,Computer science,Hue,Artificial intelligence,Scientific visualization,Computer graphics,Visual perception,Texture filtering | Conference |
ISBN | Citations | PageRank |
1-58113-106-2 | 28 | 1.70 |
References | Authors | |
12 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher G. Healey | 1 | 861 | 65.46 |
| James T. Enns | 2 | 414 | 29.02 |