Robust statistical approaches for local planar surface fitting in 3D laser scanning data

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Robust statistical approaches for local planar surface fitting in 3D laser scanning data

This paper proposes robust methods for local planar surface fitting in 3D laser scanning data. Searching through the literature revealed that many authors frequently used Least Squares (LS) and Principal Component Analysis (PCA) for point cloud processing without any treatment of outliers. It is kno...

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Bibliographic Details
Main Authors:	Nurunnabi, A., Belton, David, West, Geoff
Format:	Journal Article
Published:	Elsevier BV 2014
Subjects:	Point cloud Robustness - Segmentation Plane fitting Surface reconstruction Normal estimation Feature extraction 3D modelling Outlier
Online Access:	http://hdl.handle.net/20.500.11937/30878

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