Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Rates

First Authors Aryaman Gupta
Authors Aryaman Gupta, Pietro Incardona, Anton Brock, Guido Reina, Steffen Frey, Stefan Gumhold, Ulrik G√ľnther, Ivo F. Sbalzarini
Corresponding Authors Aryaman Gupta
Last Authors Ivo F. Sbalzarini
Conference Proceedings Volume Title Proc. Eurographics Symposium on Parallel Graphics and Visualization (EGPGV)
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Conference Name Eurographics Symposium on Parallel Graphics and Visualization
Conference Location Leipzig, Germany
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Publisher The Eurographics Association
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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
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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.
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DOI 10.2312/pgv.20231082
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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
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