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View all- Sawant AHealey C(2007)Visualizing flow data using assorted glyphsXRDS: Crossroads, The ACM Magazine for Students10.1145/1373596.137359914:2(1)Online publication date: 1-Dec-2007
Stevens dot patterns for 2D flow visualization
Pages 93 - 100
Abstract
This paper describes a new technique to visualize 2D flow fields with a sparse collection of dots. A cognitive model proposed by Kent Stevens describes how spatially local configurations of dots are processed in parallel by the low-level visual system to perceive orientations throughout the image. We integrate this model into a visualization algorithm that converts a sparse grid of dots into patterns that capture flow orientations in an underlying flow field. We describe how our algorithm supports large flow fields that exceed the capabilities of a display device, and demonstrate how to include properties like direction and velocity in our visualizations. We conclude by applying our technique to 2D slices from a simulated supernova collapse.
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Index Terms
- Stevens dot patterns for 2D flow visualization
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Published: 28 July 2006
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APGV06: ACM Symposium on Applied Perception in Graphics and Visualization
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View all- Sawant AHealey C(2007)Visualizing flow data using assorted glyphsXRDS: Crossroads, The ACM Magazine for Students10.1145/1373596.137359914:2(1)Online publication date: 1-Dec-2007
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