文章基本信息

标题：3D Modelling of Interior Spaces: Learning the Language of Indoor Architecture
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作者：K. Khoshelham ; L. Díaz-Vilariño
期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2014
卷号：XL-5
页码：321-326
DOI：10.5194/isprsarchives-XL-5-321-2014
出版社：Copernicus Publications
摘要：3D models of indoor environments are important in many applications, but they usually exist only for newly constructed buildings. Automated approaches to modelling indoor environments from imagery and/or point clouds can make the process easier, faster and cheaper. We present an approach to 3D indoor modelling based on a shape grammar. We demonstrate that interior spaces can be modelled by iteratively placing, connecting and merging cuboid shapes. We also show that the parameters and sequence of grammar rules can be learned automatically from a point cloud. Experiments with simulated and real point clouds show promising results, and indicate the potential of the method in 3D modelling of large indoor environments
关键词：Indoor modelling; Point cloud; Shape grammar; Automation; Semantics; Building Information Model (BIM)