Crate poisson

Poisson-disk distribution generation

Generates distribution of points in [0, 1)^d where:

• For each point there is disk of certain radius which doesn’t intersect with any other disk of other points
• Samples fill the space uniformly

Due it’s blue noise properties poisson-disk distribution can be used for object placement in procedural texture/world generation, as source distribution for digital stipling, as distribution for sampling in rendering or for (re)meshing.

Examples

Generate non-tiling poisson-disk distribution in [0, 1)² with disk radius 0.1 using slower but more accurate algorithm.

extern crate poisson;
extern crate rand;
extern crate nalgebra as na;

use rand::FromEntropy;
use rand::rngs::SmallRng;

use poisson::{Builder, Type, algorithm};

fn main() {
    let poisson =
        Builder::<_, na::Vector2<f64>>::with_radius(0.1, Type::Normal)
            .build(SmallRng::from_entropy(), algorithm::Ebeida);
    let samples = poisson.generate();
    println!("{:?}", samples);
}

Generate tiling poisson-disk distribution in [0, 1)³ with approximately 100 samples and relative disk radius 0.9 using faster but less accurate algorithm.

fn main() {
    let poisson =
        Builder::<_, na::Vector3<f32>>::with_samples(100, 0.9, Type::Perioditic)
            .build(SmallRng::from_entropy(), algorithm::Bridson);
    for sample in poisson {
        println!("{:?}", sample)
    }
}

Modules

algorithm

Module that contains traits that describe poisson-disk distribution generating algorithms.

Structs

Builder

Builder for the generator.

Generator

Generates poisson-disk distribution in [0, 1]^d area.

PoissonIter

Iterator for generating poisson-disk distribution.

Enums

Type

Enum for determining the type of poisson-disk distribution.

Traits

Float

Describes what floats are.

Vector

Describes what vectors are.