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,...

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Bibliographic Details
Main Author CLARBERG FRANZ P
Format Patent
LanguageChinese
English
Published 10.09.2014
Subjects
ADVERTISING
ARRANGEMENTS OR CIRCUITS FOR CONTROL OF INDICATING DEVICESUSING STATIC MEANS TO PRESENT VARIABLE INFORMATION
CALCULATING
COMPUTING
COUNTING
CRYPTOGRAPHY
DISPLAY
EDUCATION
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
PHYSICS
SEALS
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Summary: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.
Bibliography:Application Number: CN201280067225