Selective refinement queries for volume visualization of unstructured tetrahedral meshes

In this paper, we address the problem of the efficient visualization of large irregular volume data sets by exploiting a multiresolution model based on tetrahedral meshes. Multiresolution models, also called Level-Of-Detail (LOD) models, allow encoding the whole data set at a virtually continuous ra...

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Veröffentlicht in:IEEE transactions on visualization and computer graphics. - 1996. - 10(2004), 1 vom: 25. Jan., Seite 29-45
1. Verfasser: Cignoni, Paolo (VerfasserIn)
Weitere Verfasser: De Floriani, Leila, Magillo, Paola, Puppo, Enrico, Scopigno, Roberto
Format: Aufsatz
Sprache:English
Veröffentlicht: 2004
Zugriff auf das übergeordnete Werk:IEEE transactions on visualization and computer graphics
Schlagworte:Comparative Study Evaluation Study Journal Article Research Support, Non-U.S. Gov't Validation Study
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520 |a In this paper, we address the problem of the efficient visualization of large irregular volume data sets by exploiting a multiresolution model based on tetrahedral meshes. Multiresolution models, also called Level-Of-Detail (LOD) models, allow encoding the whole data set at a virtually continuous range of different resolutions. We have identified a set of queries for extracting meshes at variable resolution from a multiresolution model, based on field values, domain location, or opacity of the transfer function. Such queries allow trading off between resolution and speed in visualization. We define a new compact data structure for encoding a multiresolution tetrahedral mesh built through edge collapses to support selective refinement efficiently and show that such a structure has a storage cost from 3 to 5.5 times lower than standard data structures used for tetrahedral meshes. The data structures and variable resolution queries have been implemented together with state-of-the art visualization techniques in a system for the interactive visualization of three-dimensional scalar fields defined on tetrahedral meshes. Experimental results show that selective refinement queries can support interactive visualization of large data sets 
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650 4 |a Evaluation Study 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Validation Study 
700 1 |a De Floriani, Leila  |e verfasserin  |4 aut 
700 1 |a Magillo, Paola  |e verfasserin  |4 aut 
700 1 |a Puppo, Enrico  |e verfasserin  |4 aut 
700 1 |a Scopigno, Roberto  |e verfasserin  |4 aut 
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