Enhancing virtual natural scenes using quick and dirty image based recipes

Jaeger Marc. 2012. Enhancing virtual natural scenes using quick and dirty image based recipes. In : Plant growth modeling, simulation, visualization and applications. Proceedings PMA12 : The Fourth International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, Shanghai, China, 31 October-3 November 2012. Kang Meng Zhen (ed.), Dumont Yves (ed.), Guo Yan (ed.). Piscataway : IEEE, 164-171. ISBN 978-1-4673-0068-1 International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications (PMA12). 4, Shanghai, Chine, 31 Octobre 2012/3 Novembre 2012.

Résumé : Computer generated scenes are getting popular in the scientific communities concerned by plant, crop and forest structural and functional modeling. We show that realistic images can be produced from scientific visualizations at low costs, with post-processing functions applied to output images with or without their associated depth maps. We illustrate the use of empirical quick and dirty image based functions to mimic weather conditions and photographic effects. 2D particle systems, depth gradient processes, image with depth maps composing, allow to mimic rain, snow deposit and depth of field effects. Giving moreover a viewing matrix, on restrictive hypothesis related to the view and the illumination, images can be added sky-domes, fake reflections among other process. Compared to existing tools (often complex), the application of these experimental recipes shows fast dedicated parametrization, easy to handle and apply, covering a wide range of applications from single plant to landscape levels, including small forest stands, at various seasons and day times.

Classification Agris : U10 - Informatique, mathématiques et statistiques
K01 - Foresterie - Considérations générales
000 - Autres thèmes

Auteurs et affiliations

• Jaeger Marc, CIRAD-BIOS-UMR AMAP (FRA)

Source : Cirad - Agritrop (https://agritrop.cirad.fr/566364/)

Métriques

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