Image-guided streamline placement
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Orientable textures for image-based pen-and-ink illustration
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Image-guided streamline placement on curvilinear grid surfaces
Proceedings of the conference on Visualization '98
A flow-guided streamline seeding strategy
Proceedings of the conference on Visualization '00
Strategies for interactive exploration of 3D flow using evenly-spaced illuminated streamlines
SCCG '03 Proceedings of the 19th spring conference on Computer graphics
Clifford Convolution And Pattern Matching On Vector Fields
Proceedings of the 14th IEEE Visualization 2003 (VIS'03)
An Advanced Evenly-Spaced Streamline Placement Algorithm
IEEE Transactions on Visualization and Computer Graphics
Algorithm for computer control of a digital plotter
IBM Systems Journal
Three-dimensional flow characterization using vector pattern matching
IEEE Transactions on Visualization and Computer Graphics
Galilean invariant extraction and iconic representation of vortex core lines
EUROVIS'05 Proceedings of the Seventh Joint Eurographics / IEEE VGTC conference on Visualization
Similarity-Guided Streamline Placement with Error Evaluation
IEEE Transactions on Visualization and Computer Graphics
Context-controlled flow visualization in augmented reality
GI '08 Proceedings of graphics interface 2008
Difference of inflow and outflow based 3D streamline placement
Proceedings of the 3rd International Symposium on Visual Information Communication
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Flow vector fields contain a wealth of information that needs to be visualized. As an extension of the well-known streamline technique, we have developed a context-based method for visualizing steady flow vector fields in two and three dimensions. We call our method "Priority Streamlines". In our approach, the density of the streamlines is controlled by a scalar function that can be user-defined, or be given by additional information (e.g., temperature, pressure, vorticity, velocity) considering the underlying flow vector field. In regions, which are interesting the streamlines are drawn with increased density, while less interesting regions are drawn sparsely. Since streamlines in the most important regions are drawn first, we can use thresholding to obtain a streamline representation highlighting essential features. Color-mapping and transparency can be used for visualizing other information hidden in the flow vector field.