Title :
Focus and context for volume visualization
Author :
Cohen, Marcelo ; Brodlie, Ken
Author_Institution :
Sch. of Comput., Leeds Univ.
Abstract :
Scientific investigation and simulation have been producing increasingly large datasets. Usually that kind of data is visualized employing some scientific visualization technique. Another related field, information visualization, deals with nonscientific large scale data, using different approaches to achieve an effective understanding. Our aim is to bring these two fields together, proposing a taxonomy for volume visualization, employing information visualization techniques, particularly the focus and context idea. A prototype is being developed, which aims to implement and evaluate a number of solutions for this problem, identifying through demonstration which applications would benefit most from focus+context approaches. We describe work in progress
Keywords :
data visualisation; image texture; medical computing; rendering (computer graphics); very large databases; information visualization; large datasets; rendering; scientific visualization; taxonomy; texture image; volume visualization; Aneurysm; Biomedical engineering; Biomedical equipment; Computational modeling; Computer graphics; Data visualization; Large-scale systems; Medical services; Prototypes; Taxonomy;
Conference_Titel :
Theory and Practice of Computer Graphics, 2004. Proceedings
Conference_Location :
Bournemouth
Print_ISBN :
0-7695-2137-1
DOI :
10.1109/TPCG.2004.1314450