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Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data

A. Gupta, P. Incardona, P. Hunt, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. (June 2022)
DOI: 10.48550/arXiv.2206.14503

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Parallel compositing of Volumetric Depth Images for interactive visualization of distributed volumes at high frame ratesA. Gupta, P. Incardona, A. Brock, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. (2022)Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame RatesA. Gupta, U. Günther, P. Incardona, G. Reina, S. Frey, S. Gumhold, and I. Sbalzarini. 2023 IEEE 16th Pacific Visualization Symposium (PacificVis), 19, page 61�70. IEEE, (April 2023)Efficient Raycasting of Volumetric Depth Images for Remote Visualization of Large Volumes at High Frame RatesA. Gupta, U. G�nther, P. Incardona, G. Reina, S. Frey, S. Gumhold, and I. Sbalzarini. 16th IEEE Pacific Visualization Symposium, PacificVis 2023, Seoul, Republic of Korea, April 18-21, 2023, page 61--70. Seoul, Korea, Republic of, IEEE, (2023)Parallel Compositing of Volumetric Depth Images for Interactive Visualization of Distributed Volumes at High Frame RatesA. Gupta, P. Incardona, A. Brock, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. 23rd Eurographics Symposium on Parallel Graphics and Visualization, EGPGV@EuroVis 2023, Leipzig, Germany, June 12, 2023, page 25--35. Eurographics Association, (2023)Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume dataA. Gupta, P. Incardona, P. Hunt, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. arXiv preprint arXiv:2206.14503, (2022)Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume dataA. Gupta, P. Incardona, P. Hunt, G. Reina, S. Frey, S. Gumhold, U. Günther, and I. Sbalzarini. (June 2022)

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Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data

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copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data

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Content-adaptive generation and parallel compositing of volumetric depth images for responsive visualization of large volume data