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...

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Main Authors: Bae, Kwang-ho, Belton, David, Lichti, Derek
Other Authors: G. Vosselman
Format: Conference Paper
Published: International Society for Photogrammetry and Remote Sensing 2005
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/45224
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author Bae, Kwang-ho
Belton, David
Lichti, Derek
author2 G. Vosselman
author_facet G. Vosselman
Bae, Kwang-ho
Belton, David
Lichti, Derek
author_sort Bae, Kwang-ho
building Curtin Institutional Repository
collection Online Access
description 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 uncertainty based on the covariance analysis of a point. In addition, an explicit form of the variance of an estimated surface normal vector and an algorithm to evaluate an optimal size of the neighbourhood of a point which minimises the variance of the estimated normal vector are presented.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T09:24:41Z
publishDate 2005
publisher International Society for Photogrammetry and Remote Sensing
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spelling curtin-20.500.11937-452242022-10-20T06:33:07Z A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis Bae, Kwang-ho Belton, David Lichti, Derek G. Vosselman C Brenner point cloud three-dimensional position uncertainty laser scanning 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 uncertainty based on the covariance analysis of a point. In addition, an explicit form of the variance of an estimated surface normal vector and an algorithm to evaluate an optimal size of the neighbourhood of a point which minimises the variance of the estimated normal vector are presented. 2005 Conference Paper http://hdl.handle.net/20.500.11937/45224 International Society for Photogrammetry and Remote Sensing restricted
spellingShingle point cloud
three-dimensional
position uncertainty
laser scanning
Bae, Kwang-ho
Belton, David
Lichti, Derek
A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis
title A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis
title_full A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis
title_fullStr A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis
title_full_unstemmed A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis
title_short A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis
title_sort framework for position uncertainty of unorganised three-dimensional point clouds from near-monostatic laser scanners using covariance analysis
topic point cloud
three-dimensional
position uncertainty
laser scanning
url http://hdl.handle.net/20.500.11937/45224