A building dense point cloud rapid reconstruction method based on PMVS
A technology of dense point clouds and buildings, applied in the field of image processing, can solve the problems that cannot meet the needs of rapid reconstruction of large-scale urban scenes in smart cities, the operation efficiency of PMVS algorithm is not high, and the PMVS algorithm cannot meet the needs of rapid reconstruction of large-scale urban scenes in smart cities. reconstruction and other issues
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[0053] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below with reference to the accompanying drawings and specific embodiments.
[0054] Such as figure 1 As shown, the present invention discloses a PMVS improved method based on interpolation and diffusion of spatial triangular grids, which utilizes a hypothetical plane model of a building to construct a triangular grid, and quickly obtains accurate and effective quasi-dense points by performing spatial interpolation and diffusion on the triangular grid Cloud, and replace the sparse point cloud built by the PMVS algorithm as the diffusion seed point, which can effectively improve the operating efficiency of the PMVS algorithm, including the following steps:
[0055] Step a. Use the point cloud plane clustering obtained by the hypothetical plane fitting algorithm as input data, use the Delaunay triangulation algorithm to constru...
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