I have a CAD file (.stl) and several point clouds created by a laser scanner. now I want to calculate the difference between the CAD file and each point cloud. first I started with Cloud Compare which helps a lot to get a basic understanding. (reduction of points, remove duplicates, create a mesh and compare distances) In python, I was able to import the files and do some basic calculations. However, I am not able to calculate the distance. here is my code: import numpy as np import open3d as o3d #read point cloud dataname_pcd= "pcd.xyz" point_cloud = np.loadtxt(input_path+dataname_pcd,skiprows=1) #read mesh dataname_mesh = "cad.stl" mesh = o3d.io.read_triangle_mesh(input_path+dataname_mesh) print (mesh) #calulate the distance mD = o3d.geometry.PointCloud.compute_point_cloud_distance([point_cloud],[mesh]) #calculate the distance gives me this error: "TypeError: compute_point_cloud_distance(): incompatible function arguments. The following argument types are supported: 1. (self: open3d.cpu.pybind.geometry.PointCloud, target: open3d.cpu.pybind.geometry.PointCloud) -> open3d.cpu.pybind.utility.DoubleVector" Questions: what pre transformations for mesh and point clouds are needed to calculate their distances? is there a recommended way to display the differences? so far I just used the visualization line below o3d.visualization.draw_geometries([pcd], zoom=0.3412, front=[0.4257, -0.2125, -0.8795], lookat=[2.6172, 2.0475, 1.532], up=[-0.0694, -0.9768, 0.2024]) Continue reading...