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A spatial data structure for fast Poisson-disk sample generation
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DOI：10.1145/1141911.1141915.png)
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Abstract
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Sampling distributions with blue noise characteristics are widely used in computer graphics. Although Poisson-disk distributions are known to have excellent blue noise characteristics, they are generally regarded as too computationally expensive to generate in real time. We present a new method for sampling by dart-throwing in O(N logN) time and introduce a novel and efficient variation for generating Poisson-disk distributions in O( N) time and space.
Keywords:
sampling
blue noise
poisson disk
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