Understanding Perlin's Noise Algorithm for Procedural Generation
I explore the fundamentals of noise in procedural generation, distinguishing between pure randomness and coherent patterns. We dive into the history of Perlin Noise, developed by Ken Perlin to solve the machine-like look of early computer-generated imagery. I break down the algorithm's mechanics, explaining how it uses precalculated gradients and permutation tables to generate smooth, natural textures from simple 2D coordinates.
Ken Perlin developed Perlin noise in 1983 as a result of his frustration with the machine-like look of computer-generated imagery at the time.
- jlhawn
y'know what's cooler than Perlin Noise? Simplex Noise [1]! This is what is hinted at at the end of this article. Also invented by the same person to address issues in the original Perlin Noise function. It's not as popularly known because it was restricted by patent issues for so long but as of 2022 the patent has expired!
- vivzkestrel
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- erhuve
i had the privilege of taking perlin's computer graphics course at nyu- amazing person. fun fact, his conference submissions are easily spottable because he's the only person in the world who doesn't refer to it as "Perlin Noise"