farthest_point_sampling — 3D geodesic op

• Data kinds: points → indices

• Call: import geodesic3d; geodesic3d.farthest_point_sampling(points: numpy.ndarray, n: int, k: int = 8, start: int = 0) -> numpy.ndarray (or ops3d.get("farthest_point_sampling"))

Usage

Farthest-point sampling by geodesic distance (uniform thinning). → the selected index sequence (n,) int.

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

Runnable examples (verified samples that actually call this op)

• geodesic_distance — py -3.11 examples_3d/geodesic_distance.py

• pointcloud_downsampling — py -3.11 examples_3d/pointcloud_downsampling.py

Ops the type connects to (they accept indices as input)

fuse_to_voxel

Same category (geodesic)

geodesic_distances · geodesic_mesh · knn_graph

*Provenance: geodesic3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.