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Hierarchical PCA Decomposition of Point Clouds

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2 Author(s)
Fransens, J. ; Expertise Center for Digital Media, Limburgs Univ. Centrum, Diepenbeek ; Van Reeth, F.

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.

Published in:

3D Data Processing, Visualization, and Transmission, Third International Symposium on

Date of Conference:

14-16 June 2006

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