NDLI: Image based flow visualization

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Image based flow visualization

Content Provider	ACM Digital Library
Author	van Wijk, Jarke J.
Abstract	A new method for the visualization of two-dimensional fluid flow is presented. The method is based on the advection and decay of dye. These processes are simulated by defining each frame of a flow animation as a blend between a warped version of the previous image and a number of background images. For the latter a sequence of filtered white noise images is used: filtered in time and space to remove high frequency components. Because all steps are done using images, the method is named Image Based Flow Visualization (IBFV). With IBFV a wide variety of visualization techniques can be emulated. Flow can be visualized as moving textures with line integral convolution and spot noise. Arrow plots, streamlines, particles, and topological images can be generated by adding extra dye to the image. Unsteady flows, defined on arbitrary meshes, can be handled. IBFV achieves a high performance by using standard features of graphics hardware. Typically fifty frames per second are generated using standard graphics cards on PCs. Finally, IBFV is easy to understand, analyse, and implement.
Starting Page	745
Ending Page	754
Page Count	10
File Format	PDF
ISBN	1581135211
ISSN	07300301
DOI	10.1145/566570.566646
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2002-07-23
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Flow visualization Line integral convolution Texture mapping
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design

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