2018
DOI: 10.1111/cgf.13471
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Stratified Sampling of Projected Spherical Caps

Abstract: We present a method for uniformly sampling points inside the projection of a spherical cap onto a plane through the sphere's center. To achieve this, we devise two novel area‐preserving mappings from the unit square to this projection, which is often an ellipse but generally has a more complex shape. Our maps allow for low‐variance rendering of direct illumination from finite and infinite (e.g. sun‐like) spherical light sources by sampling their projected solid angle in a stratified manner. We discuss the prac… Show more

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Cited by 13 publications
(23 citation statements)
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“…5c. While exact procedures exist for projected spherical caps [Peters and Dachsbacher 2019;Ureña and Georgiev 2018] there is no known analytic solution that achieves stratified sampling for projected spherical triangles. Ureña et al [2000] proposed an approximate importance sampling procedure based on adaptive subdivisions of the sampling domain, while Arvo [2001] relies on the numerical inversion of a cumulative distribution function.…”
Section: Sampling Slopes Within Trianglesmentioning
confidence: 99%
“…5c. While exact procedures exist for projected spherical caps [Peters and Dachsbacher 2019;Ureña and Georgiev 2018] there is no known analytic solution that achieves stratified sampling for projected spherical triangles. Ureña et al [2000] proposed an approximate importance sampling procedure based on adaptive subdivisions of the sampling domain, while Arvo [2001] relies on the numerical inversion of a cumulative distribution function.…”
Section: Sampling Slopes Within Trianglesmentioning
confidence: 99%
“…The relative flux observed as a function of viewing angle is proportional to the area of the cap projected on to a plane perpendicular to the viewing angle. We use the result of Ureña & Georgiev (2018) to perform the projection. The maximum flux is set to the analytic result of Kasen (2010).…”
Section: Type Ia Companion Shock Coolingmentioning
confidence: 99%
“…There have been active research projects focusing on sampling [Arvo 1995b[Arvo , 2001Gamito 2016;Guillén et al 2017;Peters and Dachsbacher 2019;Ureña et al 2013;Ureña and Georgiev 2018] to reduce variance and improve convergence rate. On the other hand, solutions based on closed-form integration leveraging spherical distribution approximation have been proposed [Dupuy et al 2017;Heitz et al 2016] recently.…”
Section: Introductionmentioning
confidence: 99%