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Building Boundary Tracing and Regularization from …

    https://engineering.purdue.edu/~jshan/publications/2007/PERS_2007_LidarBoundary.pdf
    This paper is focused on building boundary tracing and regularization from raw lidar points. It consists of the following four sequential steps. First, the raw lidar points are separated to ground and non-ground two classes. Next, a moving window is used to segment individual buildings from the non-ground dataset.

Building Boundary Tracing and Regularization from …

    https://www.researchgate.net/publication/216727699_Building_Boundary_Tracing_and_Regularization_from_Airborne_LIDAR_Point_Clouds
    Tested with 1054 buildings in three lidar and photogrammetry point clouds, the development is able to produce compound building models with regularized primitives at 85% boundary consistency and ...

Building boundary tracing and regularization from LiDAR …

    https://ieeexplore.ieee.org/document/7873645
    Accurate and automatic extraction of building boundary from LiDAR data has been an active research topic in photogrammetry, computer vision and remote sensing. Boundary detection from LiDAR data consists of four steps: LiDAR data processing, Initial boundary detection, Boundary tracing, and Boundary regularization. Following these steps, the initial …

Building Boundary Tracing and Regularization from Airborne Lidar …

    https://www.ingentaconnect.com/contentone/asprs/pers/2007/00000073/00000007/art00003
    It is shown that the regularization precision is at 18 percent to 21 percent of the lidar point spacing, and the maximum offset of the determined building boundary from the original lidar points is about the same as the lidar point spacing.

img15 - LiDAR

    http://www.lidar.com.br/arquivos/building_boundary_tracing_and_regularization_from_airborne_lidar_point_clouds.pdf
    The building constraints to determine a regularized rectilinear boundary. Our tests conclude that the uncertainty of regularized building boundary tends to be linearly proportional to the lated irregular network (TIN) model from the Iidar point clouds. Triangles aro then grouped based on the orientation and position to form larger planar segments.

Regularization of Building Roof Boundaries from Airborne …

    https://www.researchgate.net/publication/342130849_Regularization_of_Building_Roof_Boundaries_from_Airborne_LiDAR_Data_Using_an_Iterative_CD-Spline
    Building boundary regularization results derived from the proposed strategy using a point cloud with 12.5 points/m 2 . Boundaries and corner points (square blue) over roof points (a), and building...

Automatic Extraction and Regularization of Building …

    https://www.researchgate.net/publication/307530239_Automatic_Extraction_and_Regularization_of_Building_Outlines_from_Airborne_LiDAR_Point_Clouds
    Building extraction from LIDAR point clouds can be div ided into four parts, i.e. (1) classify the point cloud to separate building points from ground, tree, and other urban feature points, (2)...

Extraction and Regularization of Various Building …

    https://onlinelibrary.wiley.com/doi/pdf/10.4218/etrij.11.1610.0022
    of four steps: building segmentation from a point cloud, boundary tracing, boundary grouping, and boundary regularization. In the first step, raw LIDAR points are segmented into homogeneous groups sharing similar altitudes, and various …

City3D: Large-Scale Building Reconstruction from …

    https://www.mdpi.com/2072-4292/14/9/2254/html
    We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are typically missing. Based on the observation that urban buildings typically consist of planar roofs connected with vertical walls to the ground, we …

3D building roof reconstruction from airborne LiDAR point clouds: …

    https://skyearth.org/publication/papers/2017_3brralpcafbasd.pdf
    The boundary tracing (BT) process is (1) Find the start boundary point P 0that has the lowest y-coordinate. If more than one point has the lowest y-coordinate, the point with the largest x-coordinate is chosen. (2) Find the next boundary point P 1from the neighborhood point set of P

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