Talks and Poster Presentations (with Proceedings-Entry):

V. Charpenay, B. Steiner, P. Musialski:
"Sampling Gabor Noise in the Spatial Domain";
Talk: Spring Conference on Computer Graphics, Smolenice castle, Slovakia (invited); 2014-05-28 - 2014-05-30; in: "30th Spring Conference on Computer Graphics - SCCG 2014", (2014), ISBN: 978-80-223-3601-7; 79 - 82.

English 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.

procedural texture, Gabor noise, texture synthesis

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.