Outlier detection and robust normal-curvature estimation in mobile laser scanning 3D point cloud data
This paper proposes two robust statistical techniques for outlier detection and robust saliency features, such as surface normal and curvature, estimation in laser scanning 3D point cloud data. One is based on a robust z-score and the other uses a Mahalanobis type robust distance. The methods couple...
| Main Authors: | Nurunnabi, A., West, Geoff, Belton, David |
|---|---|
| Format: | Journal Article |
| Published: |
Elsevier BV
2015
|
| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/15731 |
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