Multi-scale Assemblage for Procedural Texturing
| dc.contributor.author | Gilet, Guillaume | en_US |
| dc.contributor.author | Dischler, Jean-Michel | en_US |
| dc.contributor.author | Ghazanfarpour, Djamchid | en_US |
| dc.contributor.editor | C. Bregler, P. Sander, and M. Wimmer | en_US |
| dc.date.accessioned | 2015-02-28T08:14:23Z | |
| dc.date.available | 2015-02-28T08:14:23Z | |
| dc.date.issued | 2012 | en_US |
| dc.description.abstract | A procedural pattern generation process, called multi-scale ''assemblage'' is introduced. An assemblage is defined as a multi-scale composition of ''multi-variate'' statistical figures, that can be kernel functions for defining noiselike texture basis functions, or that can be patterns for defining structured procedural textures. This paper presents two main contributions: 1) a new procedural random point distribution function, that, unlike point jittering, allow us to take into account some spatial dependencies among figures and 2) a ''multi-variate'' approach that, instead of defining finite sets of constant figures, allows us to generate nearly infinite variations of figures on-the-fly. For both, we use a ''statistical shape model'', which is a representation of shape variations. Thanks to a direct GPU implementation, assemblage textures can be used to generate new classes of procedural textures for real-time rendering by preserving all characteristics of usual procedural textures, namely: infinity, definition independency (provided the figures are also definition independent) and extreme compactness. | en_US |
| dc.description.seriesinformation | Computer Graphics Forum | en_US |
| dc.description.volume | 31 | |
| dc.identifier.doi | 10.1111/j.1467-8659.2012.03204.x | |
| dc.identifier.issn | 1467-8659 | en_US |
| dc.identifier.uri | https://doi.org/10.1111/j.1467-8659.2012.03204.x | en_US |
| dc.publisher | The Eurographics Association and Blackwell Publishing Ltd. | en_US |
| dc.title | Multi-scale Assemblage for Procedural Texturing | en_US |