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
Proceedings of the 7th conference on Visualization '96
UFLIC: a line integral convolution algorithm for visualizing unsteady flows
VIS '97 Proceedings of the 8th conference on Visualization '97
A higher-order method for finding vortex core lines
Proceedings of the conference on Visualization '98
PLIC: bridging the gap between streamlines and LIC
VIS '99 Proceedings of the conference on Visualization '99: celebrating ten years
IEEE Transactions on Visualization and Computer Graphics
Visualizing Vector Field Topology in Fluid Flows
IEEE Computer Graphics and Applications
Automatic Vortex Core Detection
IEEE Computer Graphics and Applications
Animating Flow Fields: Rendering of Oriented Line Integral Convolution
CA '97 Proceedings of the Computer Animation
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Although texture-based methods provide a very promising way to visualize 3D vector fields, they are very time-consuming. In this paper, we introduce the notion of "significance map", and describe how significance values are derived from the intrinsic properties of a vector field. Based on the significance map, we propose techniques to accelerate the generation of a line integral convolution (LIC) texture image, to highlight important structures in a vector field, and to generate an LIC texture image with different granularities. Also, we describe how to implement our method in a parallel environment. Experimental results illustrate the feasibility of our method.