Building boundary extraction from LiDAR point cloud data

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Author(s)
Dey, Emon Kumar
Awrangjeb, Mohammad
Kurdi, Fayez Tarsha
Stantic, Bela
Griffith University Author(s)
Year published
2021
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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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Conference Title
2021 Digital Image Computing: Techniques and Applications (DICTA)
DOI
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© 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
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