Aryaman Gupta, Pietro Incardona, Anton Brock, our VISUS and SFB 1313 researcher(s) Guido Reina and Steffen Frey (former VISUS Post-Doc, now Ass. Prof. at the University of Groningen, The Netherlands), Stefan Gumold, Ulrik Günther, and Ivo F. Sbalzarini received the Best Paper Award for their Publication "Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame Rates" at this year's Eurographics Symposium on Parallel Graphics and Visualization (EGPGV). Congratulations! This year, the EGPGV 2023 took place on 12 June 2023 in Leipzig, in the framework of the EuroVis.
Authors
- Aryaman Gupta
- Pietro Incardona
- Anton Brock
- Guido Reina (University of Stuttgart, VISUS, SFB 1313 principal investigator, research project D01)
- Steffen Frey (University of Stuttgart, VISUS, SFB 1313 co-investigator, research project D01)
- Stefan Gumhold
Ulrik Günther - Ivo F. Sbalzarini
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.
About the EGPGV
The Eurographics Symposium on Parallel Graphics and Visualization (EGPGV) aims to foster the exchange of experiences and knowledge on exploiting and defining new trends in parallel graphics and visualization. This area is of growing importance due to the rapidly increasing availability of multi-core CPUs, GPUs, and cluster systems. Computationally demanding and data-intensive applications in graphics and visualization are strongly affected by this trend and require novel, efficient parallel solutions.