文章基本信息

标题：Methods for Feature Detection in Point Clouds
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作者：Weber, Christopher ; Hahmann, Stefanie ; Hagen, Hans 等
期刊名称：OASIcs : OpenAccess Series in Informatics
电子版ISSN：2190-6807
出版年度：2010
卷号：19
出版社：Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
摘要：This paper gives an overview over several techniques for detection of features, and in particular sharp features, on point-sampled geometry. In addition, a new technique using the Gauss map is shown. Given an unstructured point cloud, this method computes a Gauss map clustering on local neighborhoods in order to discard all points that are unlikely to belong to a sharp feature. A single parameter is used in this stage to control the sensitivity of the feature detection.
关键词：point cloud; sharp features; reconstruction; Gaussmap; clustering