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Authors: Avirup Mandal ; Kumar Ayush and Parag Chaudhuri

Affiliation: Indian Institute of Technology Bombay, Powai, Mumbai, India

Keyword(s): Raytracing, Non-linear Monte Carlo, Warped Spacetime, Relativity.

Abstract: General relativity describes the curvature of spacetime. Rays of light follow geodesic paths in curved space-time. Visualizing scenes containing spacetime regions with pronounced curvature requires tracing of these light ray paths. We present a Monte Carlo approach for non-linear raytracing to render scenes in curved space-time. In contrast to earlier work, we can accurately resolve ray-object interactions. This allows us to create plausible visualizations of what happens when a black hole appears in a more known environment, like a room with regular specular and diffuse surfaces. We demonstrate that our solution is correct at cosmological scales by showing how spacetime warps around a stationary Schwarzschild black hole and a non-stationary Kerr black hole. We verify that the solution is consistent with the predictions of general relativity. In the absence of any curvature in spacetime, our renderer behaves like a normal linear ray tracer. Our method has the potential to create rich , physically plausible visualizations of complex phenomena that can be used for a range of purposes, from creating visual effects to making pedagogical aids to understand the behaviour of spacetime as predicted by general relativity. (More)

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Paper citation in several formats:
Mandal, A.; Ayush, K. and Chaudhuri, P. (2021). Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 76-87. DOI: 10.5220/0010217600760087

@conference{ivapp21,
author={Avirup Mandal. and Kumar Ayush. and Parag Chaudhuri.},
title={Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP},
year={2021},
pages={76-87},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010217600760087},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - IVAPP
TI - Non-linear Monte Carlo Ray Tracing for Visualizing Warped Spacetime
SN - 978-989-758-488-6
IS - 2184-4321
AU - Mandal, A.
AU - Ayush, K.
AU - Chaudhuri, P.
PY - 2021
SP - 76
EP - 87
DO - 10.5220/0010217600760087
PB - SciTePress

- Science and Technology Publications, Lda.
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