Package org.joml.sampling

Class PoissonSampling.Disk

java.lang.Object

org.joml.sampling.PoissonSampling.Disk

Enclosing class:

PoissonSampling

public static class PoissonSampling.Disk
extends java.lang.Object

Generates Poisson samples on a disk.

The algorithm implemented here is based on Fast Poisson Disk Sampling in Arbitrary Dimensions.

Author:

Kai Burjack

Constructor Summary

Constructors

Constructor	Description
Disk(long seed, float diskRadius, float minDist, int k, Callback2d callback)	Create a new instance of PoissonSampling.Disk which computes poisson-distributed samples on a disk with the given radius diskRadius and notifies the given callback for each found sample point.

Method Summary

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

Disk

public Disk(long seed,
            float diskRadius,
            float minDist,
            int k,
            Callback2d callback)

Create a new instance of PoissonSampling.Disk which computes poisson-distributed samples on a disk with the given radius diskRadius and notifies the given callback for each found sample point.

The samples are distributed evenly on the disk with a minimum distance to one another of at least minDist.

Parameters:

seed - the seed to initialize the random number generator with

diskRadius - the disk radius

minDist - the minimum distance between any two generated samples

k - determines how many samples are tested before rejection. Higher values produce better results. Typical values are 20 to 30

callback - will be notified about each sample point