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US 10,762,700 B2Granted
Generating random sampling distributions using stochastic rasterization
AssigneeIntel Corporation
InventorFranz P. Clarberg
Life of this patent
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Abstract
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.
Claims12
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.
5 more elements
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.
3 more elements
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.
3 more elements
Dependencies are inferred from the claim text.