Using PCL's ICP algorithm to complete the registration of two point clouds, it is hoped that the point clouds can be further fused, that is, in the synthetic point cloud, redundant overlapping parts are filtered out, so that the entire point cloud maintains a reasonable number and the surface is smooth. . How to use PCL to complete the function of "filtering overlapping point clouds"?
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Provide a solution. For the registered data, in order to eliminate redundant and repeated points, a relatively small distance threshold can be set (using the registration error distance as a reference), and the Euclidean distance between the points of the two point clouds after registration can be compared. , if the distance is smaller than the set threshold, redundant points are deleted. Of course, if you know the public area, you can just use the points in the public area to calculate.