Interactive Hyper Spectral Image Rendering on GPU

Romain Hoarau, Eric Coiro, Sébastien Thon, Romain Raffin

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 (compared to their compute power) 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 when the spectral resolution of the simulated image increases.

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Paper Citation


in Harvard Style

Hoarau R., Coiro E., Thon S. and Raffin R. (2018). Interactive Hyper Spectral Image Rendering on GPU.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP, ISBN 978-989-758-287-5, pages 71-80. DOI: 10.5220/0006549800710080


in Bibtex Style

@conference{grapp18,
author={Romain Hoarau and Eric Coiro and Sébastien Thon and Romain Raffin},
title={Interactive Hyper Spectral Image Rendering on GPU},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,},
year={2018},
pages={71-80},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006549800710080},
isbn={978-989-758-287-5},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 1: GRAPP,
TI - Interactive Hyper Spectral Image Rendering on GPU
SN - 978-989-758-287-5
AU - Hoarau R.
AU - Coiro E.
AU - Thon S.
AU - Raffin R.
PY - 2018
SP - 71
EP - 80
DO - 10.5220/0006549800710080