論文

査読有り
2016年1月

Interactive Visualization for Singular Fibers of Functions f : R3 → R2

IEEE Transactions on Visualization and Computer Graphics
  • Daisuke Sakurai
  • ,
  • Osamu Saeki
  • ,
  • Hamish Carr
  • ,
  • Hsiang Yun Wu
  • ,
  • Takahiro Yamamoto
  • ,
  • David Duke
  • ,
  • Shigeo Takahashi

22
1
開始ページ
945
終了ページ
954
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1109/TVCG.2015.2467433

© 1995-2012 IEEE. Scalar topology in the form of Morse theory has provided computational tools that analyze and visualize data from scientific and engineering tasks. Contracting isocontours to single points encapsulates variations in isocontour connectivity in the Reeb graph. For multivariate data, isocontours generalize to fibers - inverse images of points in the range, and this area is therefore known as fiber topology. However, fiber topology is less fully developed than Morse theory, and current efforts rely on manual visualizations. This paper presents how to accelerate and semi-automate this task through an interface for visualizing fiber singularities of multivariate functions R3 → R2. This interface exploits existing conventions of fiber topology, but also introduces a 3D view based on the extension of Reeb graphs to Reeb spaces. Using the Joint Contour Net, a quantized approximation of the Reeb space, this accelerates topological visualization and permits online perturbation to reduce or remove degeneracies in functions under study. Validation of the interface is performed by assessing whether the interface supports the mathematical workflow both of experts and of less experienced mathematicians.

リンク情報
DOI
https://doi.org/10.1109/TVCG.2015.2467433
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/26529738
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000364043400100&DestApp=WOS_CPL
URL
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84947093444&origin=inward
ID情報
  • DOI : 10.1109/TVCG.2015.2467433
  • ISSN : 1077-2626
  • eISSN : 1941-0506
  • PubMed ID : 26529738
  • SCOPUS ID : 84947093444
  • Web of Science ID : WOS:000364043400100

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