Technical Section: Generalized reaction-diffusion textures

  • Authors:
  • Tim McGraw

  • Affiliations:
  • Computer Science and Electrical Engineering Department, West Virginia University, USA

  • Venue:
  • Computers and Graphics
  • Year:
  • 2008

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Abstract

We present a method of synthesizing textures based on a modified reaction-diffusion equation. A non-Gaussian model of diffusion is employed to make a new class of textures possible. Whereas the Gaussian diffusion model is characterized by its covariance matrix (a rank-2 tensor), the generalized model of diffusion is characterized by a sequence of tensors of increasing rank which represent higher-order moments of the diffusion displacement probability. A numerical method of solving the new reaction-diffusion equation is described, as well as representative textures generated by this technique. The resulting patterns are inorganic in nature, often featuring sharp corners. The generalized reaction-diffusion textures display spatial inhomogeneity, even when the diffusion process is homogeneous, making it possible to generate complex textures from few parameters when compared with previous techniques employing inhomogeneous reaction-diffusion. The preferred orientations depend on the tensor sequence, and can be inspected prior to texture generation by plotting the non-Gaussian diffusion propagator.