Sampling gabor noise in the spatial domain

Victor Charpenay, Bernhard Steinery, Przemyslaw Musialskiz

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


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 parameterization 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.

Original languageEnglish (US)
Title of host publicationProceedings - SCCG 2014
Subtitle of host publication30th Spring Conference on Computer Graphics
EditorsStephen N. Spencer
PublisherAssociation for Computing Machinery, Inc
Number of pages4
ISBN (Electronic)9781450330701
StatePublished - 2014
Externally publishedYes
Event30th Spring Conference on Computer Graphics, SCCG 2014 - Smolenice, Slovakia
Duration: May 28 2014May 30 2014

Publication series

NameProceedings - SCCG 2014: 30th Spring Conference on Computer Graphics


Conference30th Spring Conference on Computer Graphics, SCCG 2014

All Science Journal Classification (ASJC) codes

  • Computer Graphics and Computer-Aided Design


  • Gabor noise
  • Procedural texture
  • Texture synthesis


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