Robust segmentation in laser scanning 3D point cloud data

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

Internet

http://hdl.handle.net/20.500.11937/16069

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