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：2007
卷号：XXXVI-3/W52
页码：119-124
出版社：Copernicus Publications
摘要：Building reconstruction from LiDAR data offers promising prospects for rapid generation of large-scale 3D models in an autonomous manner. Such reconstruction requires knowledge on a variety of parameters that refer to both the point cloud and the modeled building. The complexity of the reconstruction task has led many researchers to use external information, mostly in the form of detailed ground plans to localize the buildings and usually assume that buildings consist of only planar parts. These assumptions limit the reconstruction of complex buildings specifically when curved surfaces exist. We present in this paper a model that considers the point cloud as the only information source and analyzes the roof shapes. We extend the standard models to support free-form surfaces and reconstruct their shape. Since many of the buildings are still composed of planar faces, we maintain the planar based partitioning whenever possible but detect if non-planar surfaces exist and apply free-form surface models there. In such way, the standard models are extended to support general shape roofs without imposing an artificial model if not needed. In addition to the extension into non-planar roofs, our reconstruction involves the aggregation of the point set into individual faces, and learning the building shape from these aggregates. We show the effect of imposing geometric constraints on the reconstruction to generate realistic models of buildings
关键词：LiDAR; City modeling; Building reconstruction; Free Form; Curved Surfaces
