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3D Design and Modeling of Smart Cities from a Computer Graphics Perspective

机译:从计算机图形学角度看智能城市的3D设计和建模

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摘要

Modeling cities, and urban spaces in general, is a daring task for computer graphics, computer vision, and visualization. Understanding, describing, and modeling the geometry and behavior of cities are significant challenges that ultimately benefit urban planning and simulation, mapping and visualization, emergency response, and entertainment. In this paper, we have collected and organized research which addresses this multidisciplinary challenge. In particular, we divide research in modeling cities and urban spaces into the areas of geometrical modeling and of behavioral modeling. The first area overlaps significantly with computer graphics and computer vision—our focus is on algorithms that produce intricate geometry quickly from a compact set of specifications (i.e., procedural modeling). The second area of behavioral modeling centers on understanding the underlying socioeconomic, meteorological, and resource consumption/waste production processes occurring within an urban space. Research in urban modeling, even from a computer graphics perspective, must tie the two areas of geometric and behavioral modeling together in order to ensure that useful 3D modeling techniques are developed and are placed within their needed context. In addition, we discuss the growing trend of inverse procedural modeling and some sample urban applications.
机译:对城市和一般的城市空间进行建模是计算机图形学,计算机视觉和可视化的一项艰巨任务。理解,描述和建模城市的几何形状和行为是重大挑战,最终将使城市规划和模拟,制图和可视化,应急响应和娱乐受益。在本文中,我们收集并组织了研究,以解决这一多学科挑战。尤其是,我们将对城市和城市空间建模的研究分为几何建模和行为建模领域。第一个领域与计算机图形学和计算机视觉有很大的重叠-我们的重点是从一组紧凑的规范快速生成复杂几何图形的算法(即过程建模)。行为建模的第二个领域集中在理解发生在城市空间中的潜在社会经济,气象和资源消耗/废物生产过程。即使从计算机图形学角度出发,城市建模研究也必须将几何建模和行为建模这两个领域联系在一起,以确保开发出有用的3D建模技术并将其置于其所需的上下文中。此外,我们讨论了逆过程建模的增长趋势以及一些示例城市应用。

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