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# ----------------------------------------------------------------------------
# - Open3D: www.open3d.org -
# ----------------------------------------------------------------------------
# Copyright (c) 2018-2024 www.open3d.org
# SPDX-License-Identifier: MIT
# ----------------------------------------------------------------------------
import open3d as o3d
import numpy as np
if __name__ == "__main__":
# Convert mesh to a point cloud and estimate dimensions.
armadillo_data = o3d.data.ArmadilloMesh()
pcd = o3d.io.read_triangle_mesh(
armadillo_data.path).sample_points_poisson_disk(5000)
diameter = np.linalg.norm(
np.asarray(pcd.get_max_bound()) - np.asarray(pcd.get_min_bound()))
print("Displaying input point cloud ...")
o3d.visualization.draw([pcd], point_size=5)
# Define parameters used for hidden_point_removal.
camera = [0, 0, diameter]
radius = diameter * 100
# Get all points that are visible from given view point.
_, pt_map = pcd.hidden_point_removal(camera, radius)
print("Displaying point cloud after hidden point removal ...")
pcd = pcd.select_by_index(pt_map)
o3d.visualization.draw([pcd], point_size=5)
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