Delaunay Triangulation Parallel Network Construction Method Based on Rectangle Merge for Massive Point Cloud Data
A technology of point cloud data and triangular network, applied in the field of information processing, can solve the problems of complex convex hull boundary shape, failure to complete the network construction, overlapping triangles, etc., to improve the efficiency of network construction, reduce the number and reduce abnormal situations Effect
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Embodiment 1
[0041] The Delaunay triangulation parallel network construction method based on rectangular mosaic for massive point cloud data of the present embodiment comprises the following steps:
[0042] The first step is to divide the planar space into rectangles to obtain several mutually spliced rectangle areas, take all the points falling in the same rectangle area as the sub-point set of the rectangle area, insert corner points at the vertices of the divided rectangles, and divide the The corner point is added to the set of subpoints of the rectangular area adjacent to it.
[0043] This embodiment uses the adaptive rectangular fragmentation method based on grid statistics and binary trees, as follows:
[0044] 1) if figure 1 As shown, divide the plane space into M*N grids, traverse the data point set, calculate the row and column number of the grid to which each data point belongs, and count the number of data points in each grid, if the data point If it happens to fall on the ...
Embodiment 2
[0065] This embodiment is an improvement on the basis of Embodiment 1. The difference is that this embodiment is based on rectangular slices of plane space, adopts the master-slave mode, and implements the first step to the fifth step in Embodiment 1. To perform parallel processing, the specific method is:
[0066] ① The host divides the plane space into rectangles according to the given number of divisions, inserts corner points at the vertices of the divided rectangles, and adds the corner points to the sub-point set of its adjacent rectangular area;
[0067] ② For the idle slave processor, the host assigns a sub-point set to it through network communication, and performs Delaunay sub-triangular network calculation on the slave processor, and the master processor monitors its operation results;
[0068] ③ After the calculation of the slave processor is completed, the master processor receives the calculation results from the slave processor. If there are unallocated sub-poin...
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