Sampling Gabor Noise in the Spatial Domain

Victor Charpenay, Bernhard Steiner, Przemyslaw Musialski
Sampling Gabor Noise in the Spatial Domain
In Proceedings of the 30th Spring Conference on Computer Graphics - SCCG , pages 79-82. May 2014.

Information

Abstract

Gabor noise is a powerful technique for procedural texture generation. Contrary to other types of procedural noise, its sparse convolution aspect makes it easily controllable locally. In this paper, we demonstrate this property by explicitly introducing spatial variations. We do so by linking the sparse convolution process to the parametrization of the underlying surface. Using this approach, it is possible to provide control maps for the parameters in a natural and convenient way. In order to derive intuitive control of the resulting textures, we accomplish a small study of the influence of the parameters of the Gabor kernel with respect to the outcome and we introduce a solution where we bind values such as the frequency or the orientation of the Gabor kernel to a user-provided control map in order to produce novel visual effects.

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BibTeX

@inproceedings{charpenay-2014-sgn,
  title =      "Sampling Gabor Noise in the Spatial Domain",
  author =     "Victor Charpenay and Bernhard Steiner and Przemyslaw
               Musialski",
  year =       "2014",
  abstract =   "Gabor noise is a powerful technique for procedural texture
               generation. Contrary to other types of procedural noise, its
               sparse convolution aspect makes it easily controllable
               locally. In this paper, we demonstrate this property by
               explicitly introducing spatial variations. We do so by
               linking the sparse convolution process to the
               parametrization of the underlying surface. Using this
               approach, it is possible to provide control maps for the
               parameters in a natural and convenient way. In order to
               derive intuitive control of the resulting textures, we
               accomplish a small study of the influence of the parameters
               of the Gabor kernel with respect to the outcome and we
               introduce a solution where we bind values such as the
               frequency or the orientation of the Gabor kernel to a
               user-provided control map in order to produce novel visual
               effects.",
  month =      may,
  booktitle =  "Proceedings of the 30th Spring Conference on Computer
               Graphics - SCCG ",
  editor =     "Diego Gutierrez",
  isbn =       "978-80-223-3601-7",
  location =   "Smolenice castle, Slovakia",
  publisher =  "ACM Press",
  pages =      "79--82",
  keywords =   "texture synthesis, Gabor noise, procedural texture",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2014/charpenay-2014-sgn/",
}