fuse_to_voxel — 3D `fusion` op

• Data kinds: any → voxel

• Call: import fuse3d; fuse3d.fuse_to_voxel(items, size=64, bounds=None, device='cpu', smooth=0.8) (or ops3d.get("fuse_to_voxel"))

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

Usage

Fuse several structures into one common density voxel volume (TRIZ integration). items=[(data, kind, params_dict), ...].

Background guides (the physics and conventions behind this op)

• depth_sensors — 深度センサの知識 — 測距原理・実機の値・欠測の出方

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 `voxel` as input)

voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa

Same category (`fusion`)

register_cross

*Provenance: fuse3d.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

fuse_to_voxel — 3D fusion op