poisson_surface_reconstruction
- compas_cgal.reconstruction.poisson_surface_reconstruction(points, normals)[source]
Reconstruct a surface from a point cloud using the Poisson surface reconstruction algorithm.
- Parameters:
- pointslist of
compas.geometry.Pointornumpy.ndarray The points of the point cloud.
- normalslist of
compas.geometry.Vectorornumpy.ndarray The normals of the point cloud.
- pointslist of
- Returns:
- tuple of
numpy.ndarray The vertices and faces of the reconstructed surface.
- tuple of
- Raises:
- ValueError
If points or normals are not 3D If number of points and normals don’t match If less than 3 points are provided If points are not well-distributed for reconstruction
- RuntimeError
If the reconstruction algorithm fails
Notes
The Poisson surface reconstruction algorithm requires: 1. A sufficiently dense point cloud 2. Well-oriented normals 3. Points distributed across a meaningful surface