R 点云覆盖的区域

R点云覆盖的区域及其应用案例

python
import open3d as o3d
# 读取点云数据
point_cloud = o3d.io.read_point_cloud("point_cloud.pcd")
# 进行场景重建
mesh = o3d.geometry.TriangleMesh.create_from_point_cloud_poisson(point_cloud)
# 可视化场景重建结果
o3d.visualization.draw_geometries([mesh])

python
import open3d as o3d
# 读取点云数据
point_cloud = o3d.io.read_point_cloud("point_cloud.pcd")
# 进行物体识别
labels = o3d.geometry.PointCloud.cluster_dbscan(point_cloud, eps=0.5, min_points=10)
# 可视化物体识别结果
point_cloud.colors = o3d.utility.Vector3dVector([[0, 0, 0]] * len(point_cloud.points))
for label in set(labels):
    if label == -1:
        continue
    indices = [i for i, x in enumerate(labels) if x == label]
    color = [random.uniform(0, 1), random.uniform(0, 1), random.uniform(0, 1)]
    point_cloud.colors[indices] = o3d.utility.Vector3dVector([color] * len(indices))
o3d.visualization.draw_geometries([point_cloud])