Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Automatic point cloud registration using a single octagonal lamp pole

    Access Status
    Fulltext not available
    Authors
    Chan, T.
    Lichti, D.
    Belton, David
    Hoang, L.
    Date
    2016
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Chan, T. and Lichti, D. and Belton, D. and Hoang, L. 2016. Automatic point cloud registration using a single octagonal lamp pole. Photogrammetric Engineering and Remote Sensing. 82 (4): pp. 257-269.
    Source Title
    Photogrammetric Engineering and Remote Sensing
    DOI
    10.14358/PERS.82.4.257
    ISSN
    0099-1112
    School
    Department of Spatial Sciences
    URI
    http://hdl.handle.net/20.500.11937/54214
    Collection
    • Curtin Research Publications
    Abstract

    Registration is an essential procedure for merging point clouds defined in different coordinate systems associated to different scanner positions and orientations. It is usually the first step before the point clouds are further processed to provide spatial information of a scene to support engineering applications. In this paper, a new automatic registration method based on a novel geometric model of a polygonal object is presented. Since the cross section of the shaft of many lamp poles is octagonal, registration based on an octagonal pyramid model is proposed. The presented method only requires a single, common octagonal lamp pole observed in both point clouds, though actual overlap of the point clouds is not strictly required. It can be performed as long as the model parameters can be estimated by fitting the point observations to the model. Moreover, no user interaction is needed to derive approximate values, so the proposed registration can be completely automated. Three independent datasets captured by two scanners were used to verify the method. The registration accuracies in the horizontal and vertical directions were up to 11.7 mm and 4.4 mm at approximately 62 m and 17 m away from the scanner, respectively. With such high accuracies, the estimated registration parameters can serve as a set of initial parameters for fine registration using algorithm such as the iterative closest point (ICP).

    Related items

    Showing items related by title, author, creator and subject.

    • Scan profiles based method for segmentation and extraction of planar objects in mobile laser scanning point clouds
      Nguyen, H.; Belton, D.; Helmholz, Petra (2016)
      The demand for accurate spatial data has been increasing rapidly in recent years. Mobile laser scanning (MLS) systems have become a mainstream technology for measuring 3D spatial data. In a MLS point cloud, the point ...
    • Semi-automated registration with direct linear transformation and quality evaluation of digital photogrammetry and terrestrial laser scanning
      Lim, Kwanthar (2012)
      Photogrammetry and Laser Scanning can be used to complement one another, during instances where digital images are taken of the object of interest with the intention to merge the 3D data and image in order to reconstruct ...
    • Semi-automated colour registration and evaluation of digital photogrammetry and terrestrial laser scanning
      Lim, Kwanthar; Bae, Kwang-Ho; Belton, David (2011)
      Photogrammetry and Laser Scanning fusion is becoming increasingly common. This paper outlines the evaluation and semi-automated registration of single colour image to laser scanning point cloud data using canonical ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.