Robust segmentation in laser scanning 3D point cloud data

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Robust segmentation in laser scanning 3D point cloud data

Segmentation is a most important intermediate step in point cloud data processing and understanding. Covariance statistics based local saliency features from Principal Component Analysis (PCA) are frequently used for point cloud segmentation. However it is well known that PCA is sensitive to outlier...

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Bibliographic Details
Main Authors:	Nurunnabi, Abdul, Belton, David, West, Geoffrey
Other Authors:	-
Format:	Conference Paper
Published:	IEEE eXpress Conference Publishing 2012
Subjects:	feature extraction robust statistics robust normal region growing outlier covariance technique
Online Access:	http://hdl.handle.net/20.500.11937/16069

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