mosaic.parametrization.TriangularMesh#

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

Represent a point cloud as triangular mesh.

Parameters:

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[, radii, voxel_size, ...])	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`