A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis
Position uncertainty is one of the most important quantities of an unorganised three- dimensional point clouds since it provides the confidence level of any parametric estimation such as surface normal vector estimation and the registration of point clouds. We present an explicit form of position un...
Main Authors: | , , |
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Other Authors: | |
Format: | Conference Paper |
Published: |
International Society for Photogrammetry and Remote Sensing
2005
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Subjects: | |
Online Access: | http://hdl.handle.net/20.500.11937/45224 |