select_points — REPRCONV index op

• Data kinds: points × indices → points

• Call: import fullseye as fs; fs.ledger.select_points(points, indices) (to call the implementation directly, import reprconv; reprconv.select_points(points, indices); from the registry, opsreprconv.get("select_points"))

Usage

A point set (N,3) and indices (M,) → the sub-set (M,3). The consuming side of indices.

There are 6 ops that produce indices (iss_keypoints / farthest_point_sampling / alpha_shape_boundary / find_peaks / zero_crossings_funct_1d / cad_visible_faces), yet there was not even 1 single-input op that consumes indices -- indices "only have meaning together with the original set", so in principle a single-input op cannot be built. Hence this one takes 2 inputs.

Args:

points: (N, 3).

indices: (M,) non-negative integers, less than N.

Returns:

(M, 3) float64.

Raises:

ValueError: out-of-range index / invalid shape / non-finite.

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.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• representation_conversion — py -3.11 examples/representation_conversion.py

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

points_zyx_to_keypoints_uv · points_to_position · flow_apply · points_to_gaussians

Same category (index)

indices_to_labels · labels_to_indices

*Provenance: reprconv.py — REPRCONV 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.