可視化情報学会誌
Online ISSN : 1884-037X
Print ISSN : 0916-4731
ISSN-L : 0916-4731
135時系列ボリュームデータマイニングのための位相解析アプローチ
竹島 由里子藤代 一成山口 裕美高橋 成雄
著者情報
ジャーナル フリー

2000 年 20 巻 1Supplement 号 p. 163-166

詳細
抄録

This paper takes advantage of a 3D field topology analysis for automating transfer function design aiming at volume data mining. The conventional Reeb graph-based approach to describe the topological features of 3D surfaces is extended to capture the topological skeleton of a volumetric field. Based on the analysis results, which are represented in the form of hyper Reeb graph, we propose two principles to design appropriate color/opacity transfer functions for direct volume rendering. Feasibility study of the present methodology is performed with a large scale 4D simulated dataset from atomic collision research. In analyzing the dynamic volume data, it turned out to be effective to use transfer functions designed appropriately at each time step. The basic idea of another approach with a higher order hyper Reeb graph to dynamic volume data mining is also discussed.

著者関連情報
© 社団法人 可視化情報学会
前の記事 次の記事
feedback
Top