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  2. Perlin noise - Wikipedia

    en.wikipedia.org/wiki/Perlin_noise

    A virtual landscape generated using Perlin noise. Perlin noise is a procedural texture primitive, a type of gradient noise used by visual effects artists to increase the appearance of realism in computer graphics. The function has a pseudo-random appearance, yet all of its visual details are the same size. This property allows it to be readily ...

  3. Gradient noise - Wikipedia

    en.wikipedia.org/wiki/Gradient_noise

    An artifact of some implementations of this noise is that the returned value at the lattice points is 0. Unlike the value noise, gradient noise has more energy in the high frequencies. The first known implementation of a gradient noise function was Perlin noise, credited to Ken Perlin, who published the description of it in 1985.

  4. Simulation noise - Wikipedia

    en.wikipedia.org/wiki/Simulation_noise

    Perlin noise is the earliest form of lattice noise, which has become very popular in computer graphics. Perlin Noise is not suited for simulation because it is not divergence-free. Noises based on lattices, such as simulation noise and Perlin noise, are often calculated at different frequencies and summed together to form band-limited fractal ...

  5. Ken Perlin - Wikipedia

    en.wikipedia.org/wiki/Ken_Perlin

    In 1996, K. Perlin received an Academy Award for Technical Achievement from the Academy of Motion Picture Arts and Sciences, for the development of Perlin noise. [7] He had introduced this technique with the goal to produce natural-appearing textures on computer-generated surfaces for motion picture visual effects, while working on the Walt Disney Productions' 1982 feature film TRON for which ...

  6. Noise (spectral phenomenon) - Wikipedia

    en.wikipedia.org/wiki/Noise_(spectral_phenomenon)

    Noise in computer graphics refers to various pseudo-random functions used to create textures, including: Gradient noise, created by interpolation of a lattice of pseudorandom gradients Perlin noise, a type of gradient noise developed in 1983; Simplex noise, a method for constructing an n-dimensional noise function comparable to Perlin noise

  7. OpenSimplex noise - Wikipedia

    en.wikipedia.org/wiki/OpenSimplex_noise

    OpenSimplex noise is an n-dimensional (up to 4D) gradient noise function that was developed in order to overcome the patent-related issues surrounding simplex noise, while likewise avoiding the visually-significant directional artifacts characteristic of Perlin noise. The algorithm shares numerous similarities with simplex noise, but has two ...

  8. Mathematical Applications Group - Wikipedia

    en.wikipedia.org/wiki/Mathematical_Applications...

    Perlin noise was also created by Ken Perlin as a built-in function within KPL. Much of the MAGi/SynthaVision software was Fortran -based, with a Ratfor interface for the artists. In 1985 Josh Pines argued to use the Unix programming environment for any future software and production programming design.

  9. Scenery generator - Wikipedia

    en.wikipedia.org/wiki/Scenery_generator

    Common techniques include Simplex noise, fractals, or the diamond-square algorithm, which can generate 2-dimensional heightmaps. A version of scenery generator can be very simplistic. Using a diamond-square algorithm with some extra steps involving fractals an algorithm for random generation of terrain can be made with only 120 lines of code.