Robust statistical approaches for feature extraction in laser scanning 3D point cloud data

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Robust statistical approaches for feature extraction in laser scanning 3D point cloud data

Three dimensional point cloud data acquired from mobile laser scanning system commonly contain outliers and/or noise. The presence of outliers and noise means most of the frequently used methods for feature extraction produce inaccurate and non-robust results. We investigate the problems of outliers...

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Bibliographic Details
Main Author:	Nurunnabi, Abdul Awal Md.
Format:	Thesis
Language:	English
Published:	Curtin University 2014
Online Access:	http://hdl.handle.net/20.500.11937/543

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