07-04-2023 дата публикации
Номер: CN115937149A
Принадлежит:
The invention relates to a method for automatically detecting local deviation of a wall surface based on triangular gridding, which comprises the following steps of: acquiring three-dimensional laser scanning point cloud data in a front period and a back period, and finishing the triangular gridding of a query point cloud Q based on a Delaunay triangulation theory; the NDT + ICP algorithm is used for registering the point clouds of the two periods, an index is established, and the Euclidean distance Lij between every two point clouds is calculated; setting a threshold value, searching point pairs by screening distances, and querying point clouds of which the distances between the point pairs exceed the threshold value to form a defect point set C; and for the point set C, establishing Delaunay triangulation to segment the point set into small tetrahedrons, for four points of the tetrahedrons, calculating the center coordinates and the volumes Vci of the four points, summarizing the volumes ...
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