Abhishek Joshi
43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
import open3d as o3d
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import numpy as np
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import open3d as o3d
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import numpy as np
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# Define parameters
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radius = 1.0 # Radius of the hemisphere
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resolution = 20 # Number of points per circle
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theta_steps = 20 # Number of vertical steps (slices)
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phi_steps = 20 # Number of horizontal steps
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# Generate points for the hemisphere
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points = []
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for i in range(phi_steps + 1):
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phi = np.pi / 2 * i / phi_steps
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for j in range(theta_steps + 1):
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theta = 2 * np.pi * j / theta_steps
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x = radius * np.sin(phi) * np.cos(theta)
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y = radius * np.sin(phi) * np.sin(theta)
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z = radius * np.cos(phi)
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points.append([x, y, z])
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# Create Open3D point cloud
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pcd = o3d.geometry.PointCloud()
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pcd.points = o3d.utility.Vector3dVector(points)
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# Convert point cloud to mesh - alpha
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# mesh = o3d.geometry.TriangleMesh.create_from_point_cloud_alpha_shape(pcd, alpha=10)
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# Convert point cloud to mesh - ball pivoting
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# radii = [0.005, 0.01, 0.02, 0.04]
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# pcd.estimate_normals(
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# search_param=o3d.geometry.KDTreeSearchParamHybrid(radius=1, max_nn=30))
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# mesh = o3d.geometry.TriangleMesh.create_from_point_cloud_ball_pivoting(
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# pcd, o3d.utility.DoubleVector(radii)
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# )
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# Visualize the mesh
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o3d.visualization.draw_geometries([mesh])
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# Visualize the point cloud
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# o3d.visualization.draw_geometries([pcd]) |