Robust normal vector estimation in 3D point clouds through iterative principal component analysis

This paper introduces a robust normal vector estimator for point cloud data. It can handle sharp features as well as smooth areas. Our method is based on the inclusion of a robust estimator into a Principal Component Analysis in the neighborhood of the studied point, so that it can detect and reject...

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Veröffentlicht in:	ISPRS journal of photogrammetry and remote sensing 2020-05, Vol.163, p.18-35
Hauptverfasser:	Sanchez, Julia, Denis, Florence, Coeurjolly, David, Dupont, Florent, Trassoudaine, Laurent, Checchin, Paul
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational Geometry Computer Science M-estimator Normal vector Point cloud Sharp features Weighted PCA
Online-Zugang:	Volltext
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