voxel_to_mips — 3D `transform` op

• Data kinds: voxel → images

• Call: import match3d; match3d.voxel_to_mips(vol) (or ops3d.get("voxel_to_mips"))

Usage

3-D → maximum-intensity projections along the three orthogonal directions. The entry point for applying 2-D methods (e.g. accel's 2-D NCC).

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)

• transforms_repr — py -3.11 examples_3d/transforms_repr.py

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

fuse_to_voxel · photometric_stereo · wrapped_phase · graycode_decode · decode_fringe · carve · visual_hull

Same category (`transform`)

points_to_voxel · gaussians_to_voxel · mesh_to_voxel · mesh_to_points · depth_to_points · voxel_to_mesh · tsdf_from_depth · signed_distance_field

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

voxel_to_mips — 3D transform op