A technique of evaluation a similarity between critical point graphs and its application

• OTAGIRI Sadanori

  (株)富士通長野システムエンジニアリング

• HIROTA Katsuhiko

  (株)富士通長野システムエンジニアリング

• SUZUKI Yoshio

  日本原子力研究所

• WATASHIBA Yasuhiro

  京都大学

• KOYAMADA Koji

  京都大学

Bibliographic Information

Other Title

• D306 特異点グラフの類似度の評価手法とその応用

Abstract

Nowadays, a huge volume datasets has been generated from numerical simulations and measurement equipments. However the classification and reference has been usually performed manually, such as vision or experience of a measurement engineer. There still has not been revealed efficient techniques for searching similarity between volumetric datasets.<BR>In this report, we propose a technique of performing the classification and reference using the critical point graph which expresses the feature of volume datasets in the simple figure. For this purpose, critical point graphs need to be generated efficiently and it is necessary to calculate the critical point in volume datasets efficiently.

Journal

• Journal of the Visualization Society of Japan

  Journal of the Visualization Society of Japan 24 (Supplement1), 455-456, 2004

  The Visualization Society of Japan

Keywords

• Visual data mining
• Critical point graphs and Visualization

Details

• CRID: 1390282679596727424
• NII Article ID: 10013273433
• NII Book ID: AA11907562
• DOI: 10.3154/jvs.24.supplement1_455
• ISSN: 1884037X
• ISSN: 09164731
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed