match_points_ncc — 3D `match_localize` op

• Data kinds: points × points → position

• Call: import match3d; match3d.match_points_ncc(pts_scene, pts_model, size, bounds, device='cpu', smooth=0.8) (or ops3d.get("match_points_ncc"))

• GPU: this op has a GPU path (device="cuda")

Usage

Point-set to point-set matching (structure = point cloud × method = NCC, transform = splat). Locates the model within the scene.

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)

• matching_localize — py -3.11 examples_3d/matching_localize.py

Ops the type connects to (they accept `position` as input)

refine_peak_newton · refine_translation_lk · refine_lm · fuse_to_voxel

Same category (`match_localize`)

match_shape_3d · match_chamfer_3d · match_curvature_3d · match_hough_3d · match_mip_2d

*Provenance: match3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

match_points_ncc — 3D match_localize op