dc.contributor.author	Grenier, Charline	en_US
dc.contributor.author	Sauvage, Basile	en_US
dc.contributor.author	Dischler, Jean-Michel	en_US
dc.contributor.author	Thery, Sylvain	en_US
dc.contributor.editor	Umetani, Nobuyuki	en_US
dc.contributor.editor	Wojtan, Chris	en_US
dc.contributor.editor	Vouga, Etienne	en_US
dc.date.accessioned	2022-10-04T06:41:35Z
dc.date.available	2022-10-04T06:41:35Z
dc.date.issued	2022
dc.description.abstract	Stochastic micro-patterns successfully enhance the realism of virtual scenes. Procedural models using noise combined with transfer functions are extremely efficient. However, most patterns produced today employ 1D transfer functions, which assign color, transparency, or other material attributes, based solely on the single scalar quantity of noise. Multi-dimensional transfer functions have received widespread attention in other fields, such as scientific volume rendering. But their potential has not yet been well explored for modeling micro-patterns in the field of procedural texturing. We propose a new procedural model for stochastic patterns, defined as the composition of a bi-dimensional transfer function (a.k.a. color-map) with a stochastic vector field. Our model is versatile, as it encompasses several existing procedural noises, including Gaussian noise and phasor noise. It also generates a much larger gamut of patterns, including locally structured patterns which are notoriously difficult to reproduce. We leverage the Gaussian assumption and a tiling and blending algorithm to provide real-time generation and filtering. A key contribution is a real-time approximation of the second order statistics over an arbitrary pixel footprint, which enables, in addition, the filtering of procedural normal maps. We exhibit a wide variety of results, including Gaussian patterns, profiled waves, concentric and non-concentric patterns.	en_US
dc.description.number	7
dc.description.sectionheaders	Stylization and Texture
dc.description.seriesinformation	Computer Graphics Forum
dc.description.volume	41
dc.identifier.doi	10.1111/cgf.14693
dc.identifier.issn	1467-8659
dc.identifier.pages	477-487
dc.identifier.pages	11 pages
dc.identifier.uri	https://doi.org/10.1111/cgf.14693
dc.identifier.uri	https://diglib.eg.org:443/handle/10.1111/cgf14693
dc.publisher	The Eurographics Association and John Wiley & Sons Ltd.	en_US
dc.rights	Attribution 4.0 International License
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/
dc.subject	CCS Concepts: Computing methodologies → Rendering; Antialiasing; Texturing
dc.subject	Computing methodologies → Rendering
dc.subject	Antialiasing
dc.subject	Texturing
dc.title	Color-mapped Noise Vector Fields for Generating Procedural Micro-patterns	en_US

Color-mapped Noise Vector Fields for Generating Procedural Micro-patterns

Files

Original bundle

Collections