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2000
Springer

Procedural shape generation for multi-dimensional data visualization

12 years 1 months ago
Procedural shape generation for multi-dimensional data visualization
Visualization of multi-dimensional data is a challenging task. The goal is not the display of multiple data dimensions, but user comprehension of the multi-dimensional data. This paper explores several techniques for perceptually motivated procedural generation of shapes to increase the comprehension of multi-dimensional data. Our glyph-based system allows the visualization of both regular and irregular grids of volumetric data. A glyph's location, 3D size, color, and opacity encode up to 8 attributes of scalar data per glyph. We have extended the system's capabilities to explore shape variation as a visualization attribute. We use procedural shape generation techniques because they allow exibila abstraction, and freedom from speci cation of detailed shapes. We have explored three procedural shape generation techniques: fractal detail generation, superquadrics, and implicit surfaces. These techniques allow from 1 to 14 additional data dimensions to be visualized using glyph s...
David S. Ebert, Randall M. Rohrer, Christopher D.
Added 17 Dec 2010
Updated 17 Dec 2010
Type Journal
Year 2000
Where CG
Authors David S. Ebert, Randall M. Rohrer, Christopher D. Shaw, Pradyut Panda, James M. Kukla, D. Aaron Roberts
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