@inproceedings{78353284b49e41c0a2b17e8ee4a6cea6,
title = "Sampling gabor noise in the spatial domain",
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 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.",
keywords = "Gabor noise, Procedural texture, Texture synthesis",
author = "Victor Charpenay and Bernhard Steinery and Przemyslaw Musialskiz",
note = "Publisher Copyright: Copyright {\textcopyright} 2014 by the Association for Computing Machinery, Inc.; 30th Spring Conference on Computer Graphics, SCCG 2014 ; Conference date: 28-05-2014 Through 30-05-2014",
year = "2014",
doi = "10.1145/2643188.2643193",
language = "English (US)",
series = "Proceedings - SCCG 2014: 30th Spring Conference on Computer Graphics",
publisher = "Association for Computing Machinery, Inc",
pages = "79--82",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - SCCG 2014",
}