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	2005/10
形態種別	国際会議論文
査読	査読あり
標題	A Feature-Driven Approach to Locating Optimal Viewpoints for Volume Visualization
執筆形態	共著
掲載誌名	Proc. IEEE Visualization 2005
掲載区分	国外
出版社・発行元	IEEE
巻・号・頁	pp.495-502
著者・共著者	Shigeo Takahashi, Issei Fujishiro, Yuriko Takeshima, Tomoyuki Nishita
概要	Optimal viewpoint selection is an important task because it considerably influences the amount of information contained in the 2D projected images of 3D objects, and thus dominates their first impressions from a psychological point of view. Although several methods have been proposed that calculate the optimal positions of viewpoints especially for 3D surface meshes, none has been done for solid objects such as volumes. This paper presents a new method of locating such optimal viewpoints when visualizing volumes using direct volume rendering. The major idea behind our method is to decompose an entire volume into a set of feature components, and then find a globally optimal viewpoint by finding a compromise between locally optimal viewpoints for the components. As the feature components, the method employs interval volumes and their combinations that characterize the topological transitions of isosurfaces according to the scalar field. Furthermore, opacity transfer functions are also utilized to assign different weights to the decomposed components so that users can emphasize features of specific interest in the volumes. Several examples of volume datasets together with their optimal positions of viewpoints are exhibited in order to demonstrate that the method can effectively guide naive users to find optimal projections of volumes.