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http://hdl.handle.net/1942/7801
Title: | Hierarchical PCA decomposition of point clouds | Authors: | FRANSENS, Jan VAN REETH, Frank |
Issue Date: | 2007 | Publisher: | IEEE COMPUTER SOC | Source: | Pollefeys, M & Daniilidis, K (Ed.) THIRD INTERNATIONAL SYMPOSIUM ON 3D DATA PROCESSING, VISUALIZATION, AND TRANSMISSION, PROCEEDINGS. p. 591-598. | Abstract: | We present a hierarchical analysis technique for point clouds, based on Principal Component Analysis (PCA), a well known multivariate statistical method. The crux of the algorithm is a top-down planarity assessment of the underlying point data, after which individual planar patches are merged using a tree clustering technique. We will demonstrate how the results of this analysis are used as a preprocessing step for computer aided inspection of sheet metal folding, surface reconstruction and a hybrid point-polygon rendering algorithm. | Notes: | Limburgs Univ Ctr, Expertise Ctr Digital Media, Diepenbeek, B-3590 Belgium.Fransens, J, Limburgs Univ Ctr, Expertise Ctr Digital Media, Univ Campus, Diepenbeek, B-3590 Belgium. | Keywords: | PCA, point cloud analysis, minimum spanning tree, segmentation, hierarchical methods, surface reconstruction, CAD analysis, hybrid rendering | Document URI: | http://hdl.handle.net/1942/7801 | ISBN: | 978-0-7695-2825-0 | DOI: | 10.1109/3DPVT.2006.72 | ISI #: | 000248621700076 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2008 |
Appears in Collections: | Research publications |
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