gaussians_to_points — REPRCONV gaussians op

• Data kinds: gaussians → points

• Call: import reprconv; reprconv.gaussians_to_points(gaussians) (or opsreprconv.get("gaussians_to_points"))

Usage

`gaussians → the point set of their centres (N,3). The exit from gaussians` (the centres are invertible).

> The detailed description below is the original text — the summary and the headings are translated.

Args:

gaussians: `mu / sigma / w` を持つ dict。

Returns:

(N, 3) float64(`mu` のコピー)。

Raises:

ValueError: キー欠落 / 形状不整合 / sigma <= 0 / 非有限。

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_roundtrip — py -3.11 examples/representation_roundtrip.py

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

points_zyx_to_keypoints_uv · points_to_position · select_points · flow_apply · points_to_gaussians

Same category (gaussians)

points_to_gaussians · gaussians_to_voxel

*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.