2004年7月1日
特異点グラフの類似度の評価手法とその応用
可視化情報学会誌. Suppl.
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- 巻
- 24
- 号
- 1
- 開始ページ
- 455
- 終了ページ
- 456
- 記述言語
- 日本語
- 掲載種別
- DOI
- 10.3154/jvs.24.Supplement1_455
- 出版者・発行元
- 社団法人 可視化情報学会
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.
- リンク情報
- ID情報
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- DOI : 10.3154/jvs.24.Supplement1_455
- ISSN : 0916-4731
- CiNii Articles ID : 10013273433
- CiNii Books ID : AA11907562
- identifiers.cinii_nr_id : 1000000305294