Planetary Shadow-Aware Distance Sampling

Breyer, Carl; Zirr, Tobias

Planetary Shadow-Aware Distance Sampling

dc.contributor.author	Breyer, Carl	en_US
dc.contributor.author	Zirr, Tobias	en_US
dc.contributor.editor	Ghosh, Abhijeet	en_US
dc.contributor.editor	Wei, Li-Yi	en_US
dc.date.accessioned	2022-07-01T15:37:56Z
dc.date.available	2022-07-01T15:37:56Z
dc.date.issued	2022
dc.description.abstract	Dusk and dawn scenes have been difficult for brute force path tracers to handle. We identify that a major source of the inefficiency in explicitly path tracing the atmosphere in such conditions stems from wasting samples on the denser lower parts of atmosphere that get shadowed by the planet before the upper, thinner parts when the star sets below the horizon. We present a technique that overcomes this issue by sampling the star only from the unshadowed segments along rays based on boundaries found by intersecting a cylinder fit to the planet's shadow. We also sample the transmittance by mapping the distances of the boundaries to opacities and sampling the visible segments uniformly in opacity space. Our technique can achieve similar quality compared to brute-force path tracing at around a 60th of the time in such conditions.	en_US
dc.description.sectionheaders	Sampling
dc.description.seriesinformation	Eurographics Symposium on Rendering
dc.identifier.doi	10.2312/sr.20221152
dc.identifier.isbn	978-3-03868-187-8
dc.identifier.issn	1727-3463
dc.identifier.pages	23-28
dc.identifier.pages	6 pages
dc.identifier.uri	https://doi.org/10.2312/sr.20221152
dc.identifier.uri	https://diglib.eg.org:443/handle/10.2312/sr20221152
dc.publisher	The Eurographics Association	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	CCS Concepts: Computing methodologies --> Ray tracing; Visibility
dc.subject	Computing methodologies
dc.subject	Ray tracing
dc.subject	Visibility
dc.title	Planetary Shadow-Aware Distance Sampling	en_US