class="kwd-title">Keywords: Topological voxelization, Environmental modelling, 3D city models, Point cloud voxelization, Geo-spatial database class="head no_bottom_margin" id="abs0010title">AbstractVoxel representations have been used for years in scientific computation and medical imaging. The main focus of our research is to provide easy access to methods for making large-scale voxel models of built environment for environmental modelling studies while ensuring they are spatially correct, meaning they correctly represent topological and semantic relations among objects.In this article, we present algorithms that generate voxels (volumetric pixels) out of point cloud, curve, or surface objects. The algorithms for voxelization of surfaces and curves are a customization of the topological voxelization approach ; we additionally provide an extension of this method for voxelization of point clouds.The developed software has the following advantages: class="first-line-outdent">
• It provides easy management of connectivity levels in the resulting voxels.
• It is not dependant on any external library except for primitive types and constructs; therefore, it is easy to integrate them in any application.
• One of the algorithms is implemented in C++ and C for platform independence and efficiency.
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机译：<！-fig ft0-> <！-fig @ position =“ anchor” mode =文章f4-> <！-fig mode =“ anchred” f5-> <！-fig / graphic | fig / alternatives / graphic mode =“ anchored” m1-> class =“ kwd-title”>关键字：拓扑体素化，环境建模，3D城市模型，点云体素化，地理空间数据库类=“ head no_bottom_margin” id =“ abs0010title”>摘要体素表示法已经在科学计算和医学成像领域使用了多年。我们研究的主要重点是为环境建模研究提供轻松访问的方法来建立建筑环境的大型体素模型，同时确保它们在空间上正确，这意味着它们正确地表示了对象之间的拓扑和语义关系。提出了从点云，曲线或曲面对象中生成体素（体积像素）的算法。曲面和曲线的体素化算法是拓扑体素化方法的定制;我们另外提供了此方法的扩展，用于点云的体素化。所开发的软件具有以下优点： class =“ first-line-outdent”> <！-list-behavior = simple prefix-word = mark-type = none max-label-size = 9->
