match_mip_2d — 3D match_localize op

• Data kinds: voxel × voxel → position

• Call: import match3d; match3d.match_mip_2d(scene_vol, model_vol, device='cpu') (or ops3d.get("match_mip_2d"))

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

Usage

MIP projection → 2-D NCC (structure = voxel → 2-D, method = NCC, transform = orthogonal MIP).

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_points_ncc

*Provenance: match3d.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.