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VISIGRAPP 2018

Interactive Hyper Spectral Image Rendering on GPU

  1. Romain Hoarau ORCID iD Onera - The French Aerospace Lab, France
  2. Eric Coiro Onera - The French Aerospace Lab, France
  3. Sébastien Thon Aix Marseille University / Toulon University / CNRS / ENSAM / LIF, France
  4. Romain Raffin Aix Marseille University / Toulon University / CNRS / ENSAM / LIF, France

Abstract

In this paper, we describe a framework focused on spectral images rendering. The rendering of a such image leads us to three major issues: the computation time, the footprint of the spectral image, and the memory consumption of the algorithm. The computation time can be drastically reduced by the use of GPUs, however, their memory capacity and bandwidth are limited. When the spectral dimension of the image will raise, the straightforward approach of the Path Tracing will lead us to high memory consumption and latency problems. To overcome these problems, we propose the DPEPT (Deferred Path Evaluation Path Tracing) which consists in decoupling the path evaluation from the path generation. This technique reduces the memory latency and consumption of the Path Tracing. It allows us to use an efficient wavelength samples batches parallelization pattern to optimize the path evaluation step and outperforms the straightforward approach.

  1. submitted: 2018-05-28,
  2. accepted: 2018-09-05,
  3. published: 2019-05-21

Keywords

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Any party may pass on this Work by electronic means and make it available for download under the terms and conditions of the Digital Peer Publishing License. The text of the license may be accessed and retrieved at http://www.dipp.nrw.de/lizenzen/dppl/dppl/DPPL_v2_en_06-2004.html.

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