Title: Procedural noise using sparse Gabor convolution
Authors: Lagae, Ares ×
Lefebvre, Sylvain
Drettakis, George
Dutré, Philip #
Issue Date: Aug-2009
Publisher: Association for Computing Machinery
Series Title: ACM Transactions on Graphics vol:28 issue:3
Conference: ACM SIGGRAPH edition:2009 location:New Orleans date:3-7 August 2009
Article number: 54
Abstract: Noise is an essential tool for texturing and modeling. Designing interesting
textures with noise calls for accurate spectral control, since noise is best
described in terms of spectral content. Texturing requires that noise can be
easily mapped to a surface, while high-quality rendering requires anisotropic
filtering. A noise function that is procedural and fast to evaluate offers
several additional advantages. Unfortunately, no existing noise combines all of
these properties.
In this paper we introduce a noise based on sparse convolution and the Gabor
kernel that enables all of these properties. Our noise offers accurate spectral
control with intuitive parameters such as orientation, principal frequency and
bandwidth. Our noise supports two-dimensional and solid noise, but we also
introduce setup-free surface noise. This is a method for mapping noise onto a
surface, complementary to solid noise, that maintains the appearance of the
noise pattern along the object and does not require a texture parameterization.
Our approach requires only a few bytes of storage, does not use discretely
sampled data, and is nonperiodic. It supports anisotropy and anisotropic
filtering. We demonstrate our noise using an interactive tool for noise design.
ISSN: 0730-0301
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Informatics Section
× corresponding author
# (joint) last author

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