pyFM.mesh.geometry

Functions

build_dijkstra_graph(vertices, faces)	Build the sparse symmetric edge-weighted graph used for Dijkstra-based geodesic distance computation.
compute_faces_areas(vertices, faces)	Compute per-face areas of a triangular mesh.
compute_normals(vertices, faces)	Compute face normals of a triangular mesh.
compute_vertex_areas(vertices, faces[, ...])	Compute per-vertex areas of a triangular mesh.
dijkstra_from(inds, graph)	Compute geodesic distances from one or several source vertices to all vertices, using Dijkstra's algorithm on a precomputed edge-weighted graph.
div_f(f, vertices, faces, normals[, ...])	Compute the divergence of a vector field on a mesh.
edges_from_faces(faces)	Compute all edges in the mesh.
farthest_point_sampling(d, k[, random_init, ...])	Sample points using farthest point sampling.
farthest_point_sampling_call(d_func, k[, ...])	Sample points using farthest point sampling, initialized randomly.
farthest_point_sampling_call_sub(d_func, k, ...)	Sample points using farthest point sampling on a mesh, restricted to a set of samples.
farthest_point_sampling_distmat(D, k[, ...])	Sample points using farthest point sampling from a complete distance matrix.
geodesic_distmat_dijkstra(vertices, faces)	Compute the geodesic distance matrix using Dijkstra's algorithm.
geodesic_distmat_fast_marching(vertices, faces)	Compute the geodesic distance matrix using the Fast Marching algorithm.
get_orientation_op(grad_field, vertices, ...)	Compute the linear orientation operator associated to a gradient field grad(f).
grad_f(f, vertices, faces, normals[, ...])	Compute the gradient of one or multiple functions on a mesh.
grad_mat(vertices, faces[, normals, ...])	Return the gradient operator as a (3 * m, n) matrix G.
heat_geodesic_from(inds, vertices, faces, ...)	Compute geodesic distances between vertices of index inds and all other vertices using the Heat Method.
heat_geodmat(vertices, faces, normals, A, W)	Compute geodesic distances between all pairs of vertices using the Heat Method.
heat_geodmat_robust(vertices, faces[, verbose])	Compute the geodesic distance matrix using the Heat Method, with robust computation.
neigh_faces(faces)	Return the indices of neighbor faces for each vertex.
per_vertex_normal(vertices, faces[, ...])	Compute per-vertex normals of a triangular mesh, with a chosen weighting scheme.
per_vertex_normal_area(vertices, faces)	Compute per-vertex normals of a triangular mesh, weighted by the area of adjacent faces.
per_vertex_normal_uniform(vertices, faces[, ...])	Compute per-vertex normals of a triangular mesh, with uniform weights across adjacent faces.