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  • Building boundary extraction from LiDAR point cloud data

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    Awrangjeb528142_Accepted.pdf (402.4Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Dey, Emon Kumar
    Awrangjeb, Mohammad
    Kurdi, Fayez Tarsha
    Stantic, Bela
    Griffith University Author(s)
    Awrangjeb, Mohammad
    Stantic, Bela
    Year published
    2021
    Metadata
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    Abstract
    Building boundary extraction from LiDAR point cloud data is important for urban planning and 3D modelling. Due to the uneven point distribution, missing data, and occlusion in LiDAR point cloud data, extraction of boundary points is challenging. Existing approaches have shortcomings either in detecting boundary points on concave shapes or separate identification of ‘hole’ boundary points inside the building roof. This paper, presents a method for detecting both inner and outer boundary points of the extracted building point cloud. Based on the properties of Delaunay Triangulation and distance from the mean point of the ...
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    Building boundary extraction from LiDAR point cloud data is important for urban planning and 3D modelling. Due to the uneven point distribution, missing data, and occlusion in LiDAR point cloud data, extraction of boundary points is challenging. Existing approaches have shortcomings either in detecting boundary points on concave shapes or separate identification of ‘hole’ boundary points inside the building roof. This paper, presents a method for detecting both inner and outer boundary points of the extracted building point cloud. Based on the properties of Delaunay Triangulation and distance from the mean point of the calculated neighbourhood for any point, we extract both inner and outer boundary points. Experimental results using some synthetic shapes as well as some real datasets show the competitive performance of the proposed method.
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    Conference Title
    2021 Digital Image Computing: Techniques and Applications (DICTA)
    DOI
    https://doi.org/10.1109/dicta52665.2021.9647371
    Copyright Statement
    © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subject
    Wireless communication systems and technologies (incl. microwave and millimetrewave)
    extracted building point cloud
    properties of Delaunay Triangulation
    proposed method
    synthetic shapes
    Publication URI
    http://hdl.handle.net/10072/411772
    Collection
    • Conference outputs

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