| First Authors |
Aryaman Gupta
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| Authors |
Aryaman Gupta, Pietro Incardona, Anton Brock, Guido Reina, Steffen Frey, Stefan Gumhold, Ulrik Günther, Ivo F. Sbalzarini
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| Corresponding Authors |
Aryaman Gupta
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| Last Authors |
Ivo F. Sbalzarini
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| Conference Proceedings Volume Title |
Proc. Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) |
| Series Title |
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| Conference Name |
Eurographics Symposium on Parallel Graphics and Visualization |
| Conference Location |
Leipzig, Germany |
| Conference Start Date |
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| Conference End Date |
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| Chapter Number |
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| Publisher |
The Eurographics Association |
| Conference Proceedings Editors |
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| ISBN |
978-3-03868-215-8 |
| First Page |
25 |
| Last Page |
35 |
| Open Access |
true |
| Print Publication Date |
2023-01-01 |
| Online Publication Date |
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| Abstract |
We present a parallel compositing algorithm for Volumetric Depth Images (VDIs) of large three-dimensional volume data. Large distributed volume data are routinely produced in both numerical simulations and experiments, yet it remains challenging to visualize them at smooth, interactive frame rates. VDIs are view-dependent piecewise constant representations of volume data that offer a potential solution. They are more compact and less expensive to render than the original data. So far, however, there is no method for generating VDIs from distributed data. We propose an algorithm that enables this by sort-last parallel generation and compositing of VDIs with automatically chosen content-adaptive parameters. The resulting composited VDI can then be streamed for remote display, providing responsive visualization of large, distributed volume data. |
| PDF |
Gupta_2023_8571.pdf
(29.7 MB)
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| Cover Image |
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| Affiliated With |
Sbalzarini
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| Selected By |
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| Acknowledged Services |
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| Publication Status |
Published |
| Edoc Link |
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| Sfx Link |
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| DOI |
10.2312/pgv.20231082 |
| PubMed ID |
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| WebOfScience Link |
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| Alternative Full Text URL |
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| Display Publisher Download Only |
false |
| Visible On MPI-CBG Website |
true |
| PDF Downloadable |
true |
| Created By |
sbalzari |
| Added Date |
2023-06-14 |
| Last Edited By |
thuem |
| Last Edited Date |
2023-07-10 16:13:32.874 |
| Library ID |
8571 |
| Document ID |
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| Entry Complete |
false |
| eDoc Compliant |
false |
| Include in Edoc Report |
false |
| In Pure |
false |
| Ready for eDoc Export |
false |
| Author Affiliations Complete |
false |
| Project Name |
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| Project URL |
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| Grant ID |
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| Funding Programme |
ScaDS.AI |
| Funding Organisation |
BMBF |