タケシマ　ユリコ   竹島　由里子    所属   メディア学部 メディア学科    職種   教授
言語種別	英語
発行・発表の年月	2005/08
形態種別	国際会議論文
査読	査読あり
標題	Automatic Cross-Sectioning Based on Topological Volume Skeletonization
執筆形態	共著
掲載誌名	Proc. Smart Graphics 2005, Springer Lecture Notes in Computer Science
掲載区分	国外
巻・号・頁	2638,pp.175-184
著者・共著者	Yuki Mori, Shigeo Takahashi, Yuriko Takeshima, Takeo Igarashi, Issei Fujishiro
概要	Cross-sectioning is a popular method for visualizing the complicated inner structures of three-dimensional volume datasets. However, the process is usually manual, meaning that a user must manually specify the cross-section's location using a repeated trial-and-error process. To find the best cross-sections, this method requires that a user is knowledgeable and experienced. This paper proposes a method for automatically generating characteristic cross-sections from a given volume dataset. The application of a volume skeleton tree (VST), which is a graph that delineates the topological structure of a three-dimensional volume, facilitates the automated generation of cross-sections giving good representations of the topological characteristics of a dataset. The feasibility of the proposed method is demonstrated using several examples.