Principles of pictorial information systems design
Principles of pictorial information systems design
An algorithm for space recognition and time tracking of vorticity tubes in turbulence
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Ellipsoidal quantification of evolving phenomena
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Competent, Compact, Comparative Visualization of a Vortical Flow Field
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A Predictor-Corrector Technique for Visualizing Unsteady Flow
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Visualizing Vector Field Topology in Fluid Flows
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Iconic Techniques for Feature Visualization
VIS '95 Proceedings of the 6th conference on Visualization '95
3D Computational Steering with Parametrized Geometric Objects
VIS '95 Proceedings of the 6th conference on Visualization '95
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Selective visualization of vortices in hydrodynamic flows
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Simplified representation of vector fields
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Generated glyphs as memorable desktop icons for document
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Discovery Visualization Using Fast Clustering
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Modeling and editing flows using advected radial basis functions
SCA '04 Proceedings of the 2004 ACM SIGGRAPH/Eurographics symposium on Computer animation
Rule-based visualization in the discover computational steering collaboratory
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Interactive 3D Visualization Of Rigid Body Systems
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Vortex Visualization for Practical Engineering Applications
IEEE Transactions on Visualization and Computer Graphics
Rule-based visualization in the Discover computational steering collaboratory
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Critical design and realization aspects of glyph-based 3D data visualization
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GlyphLink: An interactive visualization approach for semantic graphs
Journal of Visual Languages and Computing
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We present a conceptual framework and a process model for feature extraction and iconic visualization. The features are regions of interest extracted from a dataset. They are represented by attribute sets, which play a key role in the visualization process. These attribute sets are mapped to icons, or symbolic parametric objects, for visualization. The features provide a compact abstraction of the original data, and the icons are a natural way to visualize them. We present generic techniques to extract features and to calculate attribute sets, and describe a simple but powerful modeling language which was developed to create icons and to link the attributes to the icon parameters. We present illustrative examples of iconic visualization created with the techniques described, showing the effectiveness of this approach.