文章基本信息

标题：CC-Modeler: A topology generator for 3-D city models
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作者：Armin Gruen ; Xinhua Wang
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：1998
卷号：XXXII Part 4
出版社：Copernicus Publications
摘要：In this paper, we introduce a semi-automated topology generator for 3-D objects, CC-Modeler (CyberCity Modeler).Given the data as point clouds measured on Analytical Plotters or Digital Stations, we present a new method for fittingplanar structures to the measured sets of point clouds. While this topology generator has been originally designed tomodel buildings, it can also be used for other objects, which may be approximated by polyhedron surfaces. We haveused it so far for roads, rivers, parking lots, ships, etc. CC-Modeler is a generic topology generator. The problem of fittingplanar faces to point clouds is treated as a Consistent Labeling problem, which is solved by probabilistic relaxation.Once the faces are defined and the related points are determined we apply a simultaneous least squares adjustment inorder to fit the faces jointly to the given measurements in an optimal way. We first present the processing flow of theCC-Modeler. Then the algorithm of structuring the 3-D point data is outlined. Finally, we show the results of severaldata sets which have been produced with CC-Modeler
关键词：3-D City models; topology generator; building reconstruction; visualization