Generating random sampling distributions using stochastic rasterization
Stochastic rasterization may be used as a flexible volumetric sampling mechanism. By bounding and tessellating the sampling domain, uniform sampling distributions over an arbitrary domain can be efficiently generated in up to five dimensions. Sample placement allows pseudo-random, stratified random, or blue noise sampling. Random sampling with an adaptive density function may be achieved by adding one dimension.
1. An apparatus comprising:
a rasterizer to generate samples over a polygon, the rasterizer to:
generate a bounded polygon;
rasterize the bounded polygon into a number of primitives;
rasterize the primitives to the samples; and
determine whether the samples are inside or outside the polygon; and
a storage coupled to said rasterizer.
2. The apparatus of claim 1 , said apparatus to use stochastic rasterization to generate samples over an arbitrary domain.
3. The apparatus of claim 1 , said apparatus to use stochastic rasterization for motion or defocus blur.
4. The apparatus of claim 1 including said rasterizer as part of a graphics processing unit.
5. A method comprising:
generating samples over a polygon using a rasterizer;
generating a bounded polygon;
rasterizing the bounded polygon into a number of primitives;
rasterizing the primitives to the samples; and
determining whether the samples are inside or outside the polygon.
6. The method of claim 5 , including using stochastic rasterization to generate samples over an arbitrary domain.
7. The method of claim 5 , including using stochastic rasterization for motion or defocus blur.
8. The method of claim 5 including using said rasterizer as part of a graphics processing unit.
9. One or more non-transitory computer readable media storing instructions to perform a sequence comprising:
generating samples over a polygon using a rasterizer:
generating a bounded polygon;
rasterizing the bounded polygon into a number of primitives;
rasterizing the primitives to the samples; and
determining whether the samples are inside or outside the polygon.
10. The media of claim 9 , further storing instructions to perform a sequence including using stochastic rasterization to generate samples over an arbitrary domain.
11. The media of claim 9 , further storing instructions to perform a sequence including using stochastic rasterization for motion or defocus blur.
12. The media of claim 9 , further storing instructions to perform a sequence including using said rasterizer as part of a graphics processing unit.