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Fast and Resolution Independent Line Integral Convolution

Zitieren Sie bitte immer diese URN: urn:nbn:de:0297-zib-1653
  • Line Integral Convolution (LIC) is a powerful technique for generating striking images and animations from vector data. Introduced in 1993, the method has rapidly found many application areas, ranging from computer arts to scientific visualization. Based upon locally filtering an input texture along a curved stream line segment in a vector field, it is able to depict directional information at high spatial resolutions. We present a new method for computing LIC images, which minimizes the total number of stream lines to be computed and thereby reduces computational costs by an order of magnitude compared to the original algorithm. Our methods utilizes fast, error-controlled numerical integrators. Decoupling the characteristic lengths in vector field grid, input texture and output image, it allows to compute filtered images at arbitrary resolution. This feature is of great significance in computer animation as well as in scientific visualization, where it can be used to explore vector data by smoothly enlarging structure of details. We also present methods for improved texture animation, employing constant filter kernels only. To obtain an optimal motion effect, spatial decay of correlation between intensities of distant pixels in the output image has to be controlled. This is achieved by blending different phase shifted box filter animations and by adaptively rescaling the contrast of the output frames.

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Metadaten
Verfasserangaben:Detlev Stalling, Hans-Christian HegeORCiDGND
Dokumentart:ZIB-Report
Datum der Erstveröffentlichung:02.01.1995
Schriftenreihe (Bandnummer):ZIB-Report (SC-94-37)
ZIB-Reportnummer:SC-94-37
Verlagspublikation:A shorter version appeared in: Proceedings of SIGGRAPH 95, Los Angeles, CA, August 6-11, 1995. ACM SIGGRAPH Computer Graphics, Annual Conference Series (1995) pp. 249-256
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