Taponecco, Francesca (2006)
A Study on Textures and their Perceptual Visual Dimensions as Application for Flexible and Effective Scientific Visualization.
4th Italian Chapter Conference.
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
The use of textures is fundamental in several areas of Computer Graphics, Computer Vision and Image Processing. In this work, we focus on their main relevant attributes, in order to define and design textures as effective visual representations for use in scientific visualization. We concentrate on the problem of visualizing complex multivariate and multi-dimensional datasets as well as in synthesizing multi-fields and temporal evolution of vectorial datasets visualization. Textures features, such as directionality, color and shape are particularly suited for use in a synthesis algorithm, and they serve as effective seed primitives, which can incorporate many visual dimensions for intuitive and flexible data mapping and encoding. As special application, we propose a level-based visualization approach, with a special focus on systematic layering of information for scientific datasets.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2006 |
| Autor(en): | Taponecco, Francesca |
| Art des Eintrags: | Bibliographie |
| Titel: | A Study on Textures and their Perceptual Visual Dimensions as Application for Flexible and Effective Scientific Visualization |
| Sprache: | Englisch |
| Publikationsjahr: | 2006 |
| Verlag: | Eurographics, Aire-la-Ville |
| Veranstaltungstitel: | 4th Italian Chapter Conference |
| Kurzbeschreibung (Abstract): | The use of textures is fundamental in several areas of Computer Graphics, Computer Vision and Image Processing. In this work, we focus on their main relevant attributes, in order to define and design textures as effective visual representations for use in scientific visualization. We concentrate on the problem of visualizing complex multivariate and multi-dimensional datasets as well as in synthesizing multi-fields and temporal evolution of vectorial datasets visualization. Textures features, such as directionality, color and shape are particularly suited for use in a synthesis algorithm, and they serve as effective seed primitives, which can incorporate many visual dimensions for intuitive and flexible data mapping and encoding. As special application, we propose a level-based visualization approach, with a special focus on systematic layering of information for scientific datasets. |
| Freie Schlagworte: | Image generation, Texture-based visualization methods, Texture synthesis |
| Fachbereich(e)/-gebiet(e): | nicht bekannt 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
| Hinterlegungsdatum: | 16 Apr 2018 09:04 |
| Letzte Änderung: | 16 Apr 2018 09:04 |
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