自然环境的程序生成和交互式web可视化

B. Onrust, Rafael Bidarra, Robert Rooseboom, J. Koppel
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引用次数: 5

摘要

自然环境的交互式三维可视化可以帮助生态学家、政策制定者和广大公众更好地了解、促进和保护现有和发展中的环境。虚拟世界的创造和探索对实现这一目标非常有帮助。然而,目前的技术既不能从生态数据中产生良好的自然环境,也不能以互动的速度提供基于网络的这种详细生态系统的可视化。在本文中,我们探讨了在网络上开发和交互式可视化复杂自然环境的实时生态准确和视觉上令人信服的模型的挑战。为此,我们提出了一个框架,该框架(i)能够将景观地图和生态统计数据结合起来,将它们转化为生态良好的植物分布;(ii)创建自然环境的详细3D表示,并在网络上提供完全交互式的实时可视化。我们研究的主要贡献包括基于网络的完整的、视觉上令人信服的自然环境的实时可视化,以及它们的高密度和个体生物的可变性。植被模型结合并改进了程序生态系统生成和中性景观建模技术。它可以直接从景观图中生成不同的生态声音植物分布,并统计植物物种的覆盖度和斑块度。可视化模型使用几种现有的细节级和照明技术来实现交互式帧率并提高真实感。从生态学专家对结果的验证中,我们得出结论,我们的框架提供了非常令人信服的大型虚拟自然环境的交互式可视化。
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Procedural generation and interactive web visualization of natural environments
Interactive 3D visualization of natural environments can help ecologists, policy makers and the broad public in general to better understand, promote and protect both existing and developing environments. The creation and exploration of virtual worlds can be very helpful for this purpose. However, current techniques are neither able to generate sound natural environments from ecological data nor do they provide web-based visualizations at interactive rates of such detailed ecological systems. In this paper, we approach the challenge of developing and interactively visualizing in real time ecologically accurate and visually convincing models of complex natural environments over the web. For this, we propose a framework that (i) is able to combine landscape maps and ecological statistical data, translating them to an ecologically sound plant distribution, and (ii) creates a detailed 3D representation of the natural environment and provides for its fully interactive visualization in real-time over the web. The main contribution of our research consists of the real-time web-based visualization of complete and visually convincing natural environments with their high density and variability of individual organisms. The vegetation model combines and improves techniques from procedural ecosystem generation and neutral landscape modeling. It is able to generate diverse ecological sound plant distribution directly from landscape maps with statistics about coverage and patchiness of plant species. The visualization model uses several existing level-of-detail and illumination techniques to achieve interactive frame rates and improve realism. From the validation of the results with ecology experts we conclude that our framework provides very convincing interactive visualizations of large virtual natural environments.
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