by Udeepta Bordoloi, Han-wei Shen
http://graphics.cs.ucdavis.edu/hvm00/abstracts/shen.pdf
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Abstract:
This paper presents a hierarchical algorithm to accelerate 2D LIC computation. A quadtree data structure, combined with vector field simplification metrics, are employed to provide the capability of selective LIC approximation. In the algorithm, each node of the quadtree is associated with a measure of “complexity ” corresponding to the local flow field. At run time, a threshold is provided by the user to determine the degree of approximation. We report work in progress aiming to solve two fundamental problems: (1) Find an appropriate metric as a measure of the degree of vector field complexity. (2) Develop an approximate LIC algorithm to produce an image that gives a faithful representation of the vector field, i.e., it should have as much information as a normal LIC image. 1
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