Perlin noise: Difference between revisions
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The '''[[wp:Perlin noise|Perlin noise]]''' is a kind of [[wp:gradient noise|gradient noise]] invented by [[wp:Ken Perlin]] around the end of the twentieth century. It is basically a [[random numbers|pseudo-random]] mapping of <math>\mathcal{R}</math> into <math>\mathcal{R}^d</math> with an integer <math>d</math> which can be arbitrary large but which is usually 2, 3 or 4. |
The '''[[wp:Perlin noise|Perlin noise]]''' is a kind of [[wp:gradient noise|gradient noise]] invented by [[wp:Ken Perlin|Ken Perlin]] around the end of the twentieth century. It is basically a [[random numbers|pseudo-random]] mapping of <math>\mathcal{R}</math> into <math>\mathcal{R}^d</math> with an integer <math>d</math> which can be arbitrary large but which is usually 2, 3 or 4. |
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Either by using a dedicated library or by implementing the algorithm, show that the Perl noise (as defined in 2002 in the java implementation below) of the point in 3D-space with coordinates 3.14, 42, 7 is 0.13691995878400012. |
Either by using a dedicated library or by implementing the algorithm, show that the Perl noise (as defined in 2002 in the java implementation below) of the point in 3D-space with coordinates 3.14, 42, 7 is 0.13691995878400012. |
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