A spatial data structure for fast Poisson-disk sample generation

Abstract

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 log N) time and introduce a novel and efficient variation for generating Poisson-disk distributions in O(N) time and space.

References

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Index Terms

• Computing methodologies

  • Artificial intelligence

    • Computer vision

      • Image and video acquisition

  • Computer graphics

    • Image manipulation

    • Rendering