Imaging vector fields using line integral convolution
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Fast and resolution independent line integral convolution
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Visualizing vector fields using line integral convolution and dye advection
Proceedings of the 1996 symposium on Volume visualization
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Animating Flow Fields: Rendering of Oriented Line Integral Convolution
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The haloed line effect for hidden line elimination.
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Visualizing 3D velocity fields near contour surfaces
VIS '94 Proceedings of the conference on Visualization '94
Interactive exploration of volume line integral convolution based on 3D-texture mapping
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PLIC: bridging the gap between streamlines and LIC
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Volume illustration: non-photorealistic rendering of volume models
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Case study: hardware-accelerated selective LIC volume rendering
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Volume Illustration: Nonphotorealistic Rendering of Volume Models
IEEE Transactions on Visualization and Computer Graphics
Topological Segmentation in Three-Dimensional Vector Fields
IEEE Transactions on Visualization and Computer Graphics
Visualization of Vector Fields Using Seed LIC and Volume Rendering
IEEE Transactions on Visualization and Computer Graphics
Anisotropic Volume Rendering for Extremely Dense, Thin Line Data
VIS '04 Proceedings of the conference on Visualization '04
Visualization of the Energy-Containing Turbulent Scales
VV '04 Proceedings of the 2004 IEEE Symposium on Volume Visualization and Graphics
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Line integral convolution (LIC) is an elegant and versatile technique for representing directional information via patterns of correlation in a texture. In this article we discuss some of the factors that may underlie the perceptual difficulties that we can encounter with dense 3D displays and describe strategies for more effectively visualizing 3D flow with volume LIC. Specifically, we suggest techniques for selectively emphasizing critical regions of interest in a flow, for facilitating the accurate perception of the 3D depth and orientation of overlapping streamlines, for efficiently incorporating an indication of orientation into a flow representation, and for conveying additional information about related scalar quantities such as temperature or vorticity over a flow via subtle, continuous line width and color variations.