DocumentCode :
2487145
Title :
Interactive transfer function design on large multiresolution volumes
Author :
Martin, Steven ; Shen, Han-Wei
Author_Institution :
Ohio State Univ., Columbus, OH, USA
fYear :
2012
fDate :
14-15 Oct. 2012
Firstpage :
19
Lastpage :
22
Abstract :
Interactive transfer function design techniques seek to leverage user knowledge to facilitate the discovery of data salience. In this process, interactive volume rendering is typically a necessity. Interactive volume rendering of large-scale data on workstations is often accomplished through the use of level of detail techniques, prioritizing information deemed to be salient over information deemed to be unimportant. If salience is not known a priori, and interactive transfer function design techniques that depend on volume rendering are to be applied to large-scale data using level of detail selection, then there is a cyclic dependency. Techniques must be applied that can support simultaneous development of salience both for the transfer function design technique and the level of detail selection technique. Building on recent work in LOD selection, we propose an interactive transfer function design technique that enables incremental salience discovery to support simultaneous construction of transfer functions and LOD selections on large-scale data.
Keywords :
data visualisation; interactive systems; rendering (computer graphics); transfer functions; LOD selection; cyclic dependency; data salience discovery; data visualisation; incremental salience discovery; interactive transfer function design; interactive volume rendering; large multiresolution volumes; large-scale data; level of detail selection technique; Color; Data visualization; Graphics processing units; Histograms; Image color analysis; Rendering (computer graphics); Transfer functions; Level of detail selection; Scalable visualization; Transfer function design;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Large Data Analysis and Visualization (LDAV), 2012 IEEE Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4673-4732-7
Type :
conf
DOI :
10.1109/LDAV.2012.6378971
Filename :
6378971
Link To Document :
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