Refine
Departments, institutes and facilities
- Fachbereich Informatik (46)
- Fachbereich Ingenieurwissenschaften und Kommunikation (23)
- Fachbereich Angewandte Naturwissenschaften (21)
- Institut für funktionale Gen-Analytik (IFGA) (20)
- Institute of Visual Computing (IVC) (20)
- Institut für Cyber Security & Privacy (ICSP) (13)
- Fachbereich Wirtschaftswissenschaften (9)
- Institut für Technik, Ressourcenschonung und Energieeffizienz (TREE) (6)
- Institut für Verbraucherinformatik (IVI) (6)
- Institut für Sicherheitsforschung (ISF) (4)
Document Type
- Conference Object (68)
- Article (65)
- Part of a Book (8)
- Lecture (5)
- Book (monograph, edited volume) (3)
- Master's Thesis (3)
- Conference Proceedings (2)
- Part of Periodical (2)
- Preprint (2)
- Doctoral Thesis (1)
Year of publication
- 2013 (161) (remove)
Language
- English (161) (remove)
Keywords
- Amiloride (2)
- Education (2)
- Internet (2)
- Mal d 1 (2)
- Molecular dynamics (2)
- Three-dimensional displays (2)
- apple allergy (2)
- cystic fibrosis (2)
- end user development (2)
- ionic liquids (2)
Generating and visualizing large areas of vegetation that look natural makes terrain surfaces much more realistic. However, this is a challenging field in computer graphics, because ecological systems are complex and visually appealing plant models are geometrically detailed. This work presents Silva (System for the Instantiation of Large Vegetated Areas), a system to generate and visualize large vegetated areas based on the ecological surrounding. Silva generates vegetation on Wang-tiles with associated reusable distributions enabling multi-level instantiation. This paper presents a method to generate Poisson Disc Distributions (PDDs) with variable radii on Wang-tile sets (without a global optimization) that is able to generate seamless tilings. Because Silva has a freely configurable generation pipeline and can consider plant neighborhoods it is able to incorporate arbitrary abiotic and biotic components during generation. Based on multi-levelinstancing and nested kd-trees, the distributions on the Wang-tiles allow their acceleration structures to be reused during visualization. This enables Silva to visualize large vegetated areas of several hundred square kilometers with low render times and a small memory footprint.