Ecologically Sound Procedural Generation of Natural Environments
Current techniques for the creation and exploration of virtual worlds are largely unable to generate sound natural environments from ecological data and to provide interactive web-based visualizations of such detailed environments. We tackle this challenge and propose a novel framework that (i) expl...
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2017-01-01
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Series: | International Journal of Computer Games Technology |
Online Access: | http://dx.doi.org/10.1155/2017/7057141 |
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doaj-1c703154fd4c4cd4949dfece283265242020-11-24T23:35:21ZengHindawi LimitedInternational Journal of Computer Games Technology1687-70471687-70552017-01-01201710.1155/2017/70571417057141Ecologically Sound Procedural Generation of Natural EnvironmentsBenny Onrust0Rafael Bidarra1Robert Rooseboom2Johan van de Koppel3Computer Graphics and Visualization Group, Delft University of Technology, Delft, NetherlandsComputer Graphics and Visualization Group, Delft University of Technology, Delft, NetherlandsDepartment of Spatial Ecology, Royal Netherlands Institute for Sea Research, Yerseke, NetherlandsDepartment of Spatial Ecology, Royal Netherlands Institute for Sea Research, Yerseke, NetherlandsCurrent techniques for the creation and exploration of virtual worlds are largely unable to generate sound natural environments from ecological data and to provide interactive web-based visualizations of such detailed environments. We tackle this challenge and propose a novel framework that (i) explores the advantages of landscape maps and ecological statistical data, translating them to an ecologically sound plant distribution, and (ii) creates a visually convincing 3D representation of the natural environment suitable for its interactive visualization over the web. Our vegetation model improves techniques from procedural ecosystem generation and neutral landscape modeling. It is able to generate diverse ecological sound plant distributions directly from landscape maps with statistical ecological data. Our visualization model integrates existing level of detail and illumination techniques to achieve interactive frame rates and improve realism. We validated with ecology experts the outcome of our framework using two case studies and concluded that it provides convincing interactive visualizations of large natural environments.http://dx.doi.org/10.1155/2017/7057141 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Benny Onrust Rafael Bidarra Robert Rooseboom Johan van de Koppel |
spellingShingle |
Benny Onrust Rafael Bidarra Robert Rooseboom Johan van de Koppel Ecologically Sound Procedural Generation of Natural Environments International Journal of Computer Games Technology |
author_facet |
Benny Onrust Rafael Bidarra Robert Rooseboom Johan van de Koppel |
author_sort |
Benny Onrust |
title |
Ecologically Sound Procedural Generation of Natural Environments |
title_short |
Ecologically Sound Procedural Generation of Natural Environments |
title_full |
Ecologically Sound Procedural Generation of Natural Environments |
title_fullStr |
Ecologically Sound Procedural Generation of Natural Environments |
title_full_unstemmed |
Ecologically Sound Procedural Generation of Natural Environments |
title_sort |
ecologically sound procedural generation of natural environments |
publisher |
Hindawi Limited |
series |
International Journal of Computer Games Technology |
issn |
1687-7047 1687-7055 |
publishDate |
2017-01-01 |
description |
Current techniques for the creation and exploration of virtual worlds are largely unable to generate sound natural environments from ecological data and to provide interactive web-based visualizations of such detailed environments. We tackle this challenge and propose a novel framework that (i) explores the advantages of landscape maps and ecological statistical data, translating them to an ecologically sound plant distribution, and (ii) creates a visually convincing 3D representation of the natural environment suitable for its interactive visualization over the web. Our vegetation model improves techniques from procedural ecosystem generation and neutral landscape modeling. It is able to generate diverse ecological sound plant distributions directly from landscape maps with statistical ecological data. Our visualization model integrates existing level of detail and illumination techniques to achieve interactive frame rates and improve realism. We validated with ecology experts the outcome of our framework using two case studies and concluded that it provides convincing interactive visualizations of large natural environments. |
url |
http://dx.doi.org/10.1155/2017/7057141 |
work_keys_str_mv |
AT bennyonrust ecologicallysoundproceduralgenerationofnaturalenvironments AT rafaelbidarra ecologicallysoundproceduralgenerationofnaturalenvironments AT robertrooseboom ecologicallysoundproceduralgenerationofnaturalenvironments AT johanvandekoppel ecologicallysoundproceduralgenerationofnaturalenvironments |
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1725526427477999616 |