“T-Map: Time-Varying Volume Data Mining Based on Topological Feature Analysis”

Rieko Otsuka, Issei Fujishiro, Shigeo Takahashi, Yuriko Takeshima

研究成果: Article査読

抄録

Volume visualization has served as an indispensable tool for peering into the inner structures of volumetric datasets. However, there exist a few reports on how to visualize effectively time-varying volume datasets, which arise frequently in a variety of numerical simulations and measurements. In this paper, the concept of volume data mining is extended to propose an environment, termed T-map, for visually exploring a large-scale time-varying volume dataset, where a pixel-oriented information visualization technique is employed so that the users are allowed to interactively specify partial spatiotemporal regions with characteristic change in topological structures prior to detailed and comprehensible volume visualization processes. A case study with a dataset from atomic collision research is performed to illustrate the feasibility of the present method.

本文言語English
ページ(範囲)504-513
ページ数10
ジャーナルJournal of the Institute of Image Electronics Engineers of Japan
31
4
DOI
出版ステータスPublished - 2002
外部発表はい

ASJC Scopus subject areas

  • コンピュータ サイエンス(その他)
  • 電子工学および電気工学

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