Methods for Feature Detection in Point Clouds

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. 1998 ACM Subject Classification Edge and feature detection Keywords and phrases point cloud, sharp features, reconstruction, Gaussmap, clustering Digital Object Identifier 10.4230/OASIcs.VLUDS.2010.90

• Type: Journal
• Year: 2010
• Where: VLUDS
• Authors: Christopher Weber, Stefanie Hahmann, Hans Hagen
• Keywords: Gauss Map, Point Cloud, Sharp Features, Visualization, VLUDS 2010