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Light-field supported fast volume rendering

Published: 05 August 2012 Publication History

Abstract

We present a combination of light-field rendering and volume rendering to enable the interactive exploration of large volumetric data sets. We recycle previously rendered images and use the idle times of the volume renderer for filling a cached-managed light field. The final images are then composed from both: light-field rendering and volume rendering -- depending on the state of the light-field cache. Our method is never slower than the stand-alone volume render -- but it accelerates significantly over time.

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  • (2020)Fast Approximate Light Field Volume Rendering: Using Volume Data to Improve Light Field Synthesis via Convolutional Neural NetworksComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-030-41590-7_14(338-361)Online publication date: 20-Feb-2020

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  1. Light-field supported fast volume rendering

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      cover image ACM Conferences
      SIGGRAPH '12: ACM SIGGRAPH 2012 Posters
      August 2012
      131 pages
      ISBN:9781450316828
      DOI:10.1145/2342896
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      New York, NY, United States

      Publication History

      Published: 05 August 2012

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      Author Tags

      1. image stacks
      2. light fields
      3. real-time
      4. volume rendering

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      • (2020)Fast Approximate Light Field Volume Rendering: Using Volume Data to Improve Light Field Synthesis via Convolutional Neural NetworksComputer Vision, Imaging and Computer Graphics Theory and Applications10.1007/978-3-030-41590-7_14(338-361)Online publication date: 20-Feb-2020

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