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Rule-Based Collaborative Volume Visualization

  • Yunhai Wang
  • Xiaoru Yuan
  • Guihua Shan
  • Xuebin Chi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4674)

Abstract

Visualizing complex volume data sets often involves collaborative work of geographically distributed domain scientists and visualization experts. Integrating inputs from participants is critical to the success of such collaborative scientific visualization tasks. In this paper, we introduce a novel rule-based collaborative volume feature visualization system for sharing and integrating multiple users’ knowledge in a collaborative environment. Our system is effective at combining multiple users’ efforts on locating complex features.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Yunhai Wang
    • 1
    • 2
  • Xiaoru Yuan
    • 3
  • Guihua Shan
    • 1
    • 2
  • Xuebin Chi
    • 1
  1. 1.Computer Network Information Center, Chinese Academy of Sciences, BeijingChina
  2. 2.Graduate University of Chinese Academy of Science, BeijingChina
  3. 3.Department of Computer Science and Engineering, University of Minnesota, MNUSA

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