Research on complex surface reconstruction method based on laser point cloud

Aiming at the problems of large amount of laser point cloud data, uneven distribution of point cloud and unsmooth surface of reconstructed model, a moving least square method with value-added conditions is proposed to smooth sample the point cloud, and by setting the search neighborhood radius, the point cloud surface is smoother and the detail features are clearer; At the same time, a Delaunay triangular mesh reconstruction algorithm based on multi criteria is proposed to realize the model reconstruction of point cloud after smooth sampling, so as to improve the reconstruction accuracy of large-scale point cloud, and improve the effect of meshing model by manually adjusting parameters. The feasibility of this method is verified by comparative experiments.