Název: Component-based isosurface extraction for multiple dataset visualization
Autoři: Gu, Shiyuan
Karki, Bijaya B.
Citace zdrojového dokumentu: Journal of WSCG. 2010, vol. 18, no. 1-3, p. 97-104.
Datum vydání: 2010
Nakladatel: Václav Skala - UNION Agency
Typ dokumentu: article
článek
URI: http://wscg.zcu.cz/WSCG2010/Papers_2010/!_2010_J_WSCG-2010_1-3.pdf
http://hdl.handle.net/11025/1265
ISBN: 978-80-86943-89-3
ISSN: 1213–6972 (hardcover)
1213–6980 (CD-ROM)
1213–6964 (online)
Klíčová slova: vizualizace datových souborů;koherence dat;extrakce izoploch
Klíčová slova v dalším jazyce: data set visualization;data coherency;isosurface extraction
Abstrakt: In the situations where isosurfaces are comprised of many disjoint components, two or more datasets can be visualized simul- taneously by processing only a subset of isosurface components. The components of interest can be selected by exploiting interdataset coherency at the level of individual voxels and components. Thus, only those components (identified as voxel cov- erages or voxel sets) which differ significantly among the datasets under consideration are extracted as needed while the similar components were extracted only once from a reference dataset. Since the polygons are extracted/rendered as a whole com- ponent, the rendered isosurfaces are crack-free. We use three user-defined thresholds to control multiple dataset visualization (MDV) so that important relationships (differences and similarities) among the datasets can be explored with an improvement in the overall performance. If the data-coherency can not be defined easily, MDV can still benefit from the on-the-fly processing of the individual components.
Práva: © Václav Skala - UNION Agency
Vyskytuje se v kolekcích:Number 1-3 (2010)

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