Fast LIC Image Generation Based on Significance Map

  • Li Chen
  • Issei Fujishiro
  • Qunsheng Peng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1940)


Although texture-based methods provide a very promising way to visualize 3D vector fields, they are very time-consuming. In this paper, we introduce the notion of “significance map”, and describe how significance values are derived from the intrinsic properties of a vector field. Based on the significance map, we propose techniques to accelerate the generation of a line integral convolution (LIC) texture image, to highlight important structures in a vector field, and to generate an LIC texture image with different granularities. Also, we describe how to implement our method in a parallel environment. Experimental results illustrate the feasibility of our method.


Vector Field Texture Image Curvilinear Grid IEEE Visualization Texture Space 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Li Chen
    • 1
    • 3
  • Issei Fujishiro
    • 2
    • 1
  • Qunsheng Peng
    • 3
  1. 1.Research Organization for Information Science & TechnologyMinato-ku, TokyoJapan
  2. 2.Department of Information Sciences, Faculty of ScienceOchanomizu UniversityBunkyo-ku, TokyoJapan
  3. 3.State Key Lab. of CAD&CGZhejiang UniversityHangzhouP. R. China

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