Title :
Visualizing 3D flow
Author :
Interrante, Victoria ; Grosch, Chester
Author_Institution :
Inst. for Comput. Applications in Sci. & Eng., USA
Abstract :
We discuss volume line integral convolution (LIC) techniques for effectively visualizing 3D flow, including using visibility-impeding halos and efficient asymmetric filter kernels. Specifically, we suggest techniques for selectively emphasizing critical regions of interest in a flow; facilitating the accurate perception of the 3D depth and orientation of overlapping streamlines; efficiently incorporating an indication of orientation into a flow representation; and conveying additional information about related scalar quantities such as temperature or vorticity over a flow via subtle, continuous line width and color variations
Keywords :
data visualisation; flow visualisation; image texture; rendering (computer graphics); user interfaces; 3D depth; 3D flow visualization; asymmetric filter kernels; color variations; flow representation; image texture; orientation; overlapping streamlines; regions of interest; rendering; temperature; three dimensional flow visualization; visibility-impeding halos; volume line integral convolution; vorticity; Colored noise; Data preprocessing; Data visualization; Image reconstruction; Noise figure; Noise reduction; Solids; Surface reconstruction; Surface texture; Temperature;
Journal_Title :
Computer Graphics and Applications, IEEE
