Preattentive processing in vision
Computer Vision, Graphics, and Image Processing
A tool for dynamic explorations of color mappings
I3D '90 Proceedings of the 1990 symposium on Interactive 3D graphics
Using visual texture for information display
ACM Transactions on Graphics (TOG)
Large Datasets at a Glance: Combining Textures and Colors in Scientific Visualization
IEEE Transactions on Visualization and Computer Graphics
Color Sequences for Univariate Maps: Theory, Experiments and Principles
IEEE Computer Graphics and Applications
A rule-based tool for assisting colormap selection
VIS '95 Proceedings of the 6th conference on Visualization '95
Perceptual dependencies in information visualization assessed by complex visual search
ACM Transactions on Applied Perception (TAP)
Visualizing flow data using assorted glyphs
Crossroads
Op-Glyph: a tool for exploring op art representation of height and vector field data
Proceedings of the Working Conference on Advanced Visual Interfaces
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This paper describes a new method for visualizing complex information spaces as painted images. Scientific visualization converts data into pictures that allow viewers to "see" trends, relationships, and patterns. We introduce a formal definition of the correspondence between traditional visualization techniques and painterly styles from the Impressionist art movement. This correspondence allows us to apply perceptual guidelines from visualization to control the presentation of information in a computer-generated painting. The result is an image that is visually engaging, but that also allows viewers to rapidly and accurately explore and analyze the underlying data values. We conclude by applying our technique to a collection of environmental and weather readings, to demonstrate its viability in a practical, real-world visualization environment.