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    A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis

    Access Status
    Fulltext not available
    Authors
    Bae, Kwang-ho
    Belton, David
    Lichti, Derek
    Date
    2005
    Type
    Conference Paper
    
    Metadata
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    Citation
    Bae, Kwang-ho and Belton, David and Lichti, Derek. 2005. A Framework for Position Uncertainty of Unorganised Three-Dimensional Point Clouds from Near-Monostatic Laser Scanners Using Covariance Analysis, in G. Vosselman, C Brenner (ed), ISPRS Workshop Laser Scanning 2005, Sep 12 2006, pp. 7-12. Enschede, the Netherlands: International Society for Photogrammetry and Remote Sensing.
    Source Title
    The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Vol XXXVI Part 3/W19: Proceedings of the ISPRS Workshop Laser Scanning 2005
    Source Conference
    ISPRS Workshop Laser Scanning 2005
    Faculty
    Department of Spatial Sciences
    Faculty of Science and Engineering
    WA School of Mines
    URI
    http://hdl.handle.net/20.500.11937/45224
    Collection
    • Curtin Research Publications
    Abstract

    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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