mosaic.parametrization.ClusteredBallPivotingMesh#

class ClusteredBallPivotingMesh(mesh, repair=True)[source]#

Bases: TriangularMesh

__init__(mesh, repair=True)#

Methods

__init__(mesh[, repair])

add_projections(projections, triangle_indices)

Add projected points to the mesh by splitting triangles.

compute_curvature([curvature, radius])

compute_distance(points[, normals, ...])

Compute distance to mesh by ray-casting.

compute_normal(points)

Compute the normal vector at a given point on the surface.

compute_vertex_normals()

fit(positions[, voxel_size, radius, ...])

Fit a parametrization to a point cloud.

from_file(file_path)

geodesic_distance(target_vertices[, ...])

Compute geodesic distance from target vertices to their k-nearest source vertices on the mesh.

points_per_sampling(sampling_density[, ...])

Computes the approximate number of random samples required to achieve a given spatial sampling_density.

sample(n_samples[, mesh_init_factor, ...])

Samples points from the Triangular mesh.

to_file(file_path)

Attributes

triangles

vertices