A211 特異点グラフとコンター木による類似度判定法の評価

• 小田切 貞憲

  (株)富士通長野システムエンジニアリング

• 広田 克彦

  (株)富士通長野システムエンジニアリング

• 酒井 晃二

  京都大学

• 小山田 耕二

  京都大学

書誌事項

タイトル別名

• Evaluating a similarity between volume data using critical point graphs and contour trees.

抄録

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>On the other hand, some techniques for expressing the structure of the volume data in a simple figure are proposed. In this report, Critical Point Graphs and Contour Trees are used as a key to the similar level judgment from among those techniques. A similar level is judged to some data, and the merit and the weak point of each technique are clarified.

収録刊行物

• 可視化情報学会誌

  可視化情報学会誌 25 (Supplement1), 147-148, 2005

  社団法人 可視化情報学会

キーワード

• Visual data mining
• Critical point graphs and Contour trees

詳細情報

• CRID: 1390001204619570688
• NII論文ID: 10016586336
• NII論文ID: 130003443386
• NII書誌ID: AA11907562
• DOI: 10.3154/jvs.25.supplement1_147
• ISSN: 1884037X
• ISSN: 09164731
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • Crossref
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可