transform op• Data kinds: mesh → voxel
• Call: import fullseye as fs; fs.ledger.mesh_to_voxel(vertices, faces, size, bounds=None, samples=40000, device='cpu', smooth=0.8) (to call the implementation directly, import match3d; match3d.mesh_to_voxel(vertices, faces, size, bounds=None, samples=40000, device='cpu', smooth=0.8); from the registry, ops3d.get("mesh_to_voxel"))
• GPU: this op has a GPU path (device="cuda")
Mesh (vertices + faces) → a density voxel volume. Uniform sampling on the faces → splat (it connects the mesh row to every method).
> The detailed description below is the original text — the summary and the headings are translated.
三角形上の一様点は barycentric(sqrt トリック)。占有 voxel が要るなら閾値化する。
手順: 各三角形の面積に比例して `samples 個の面を選び(default_rng(0)` の固定 seed
→ 毎回同じ点)、面内一様な barycentric 点を作って `points_to_voxel に渡す(smooth`
既定 0.8 voxel)。`faces は (F,3) の頂点 index、vertices` は (V,3)。
退化面(面積 0)しか無い mesh は確率が NaN になり `rng.choice` が ValueError を出す。
`bounds=None` ならサンプル点の min/max(mesh の bbox とほぼ一致するが、サンプル次第で
僅かに内側)。`bounds の検証・範囲外 clip は points_to_voxel` と同じ。
返り値 `(size, size, size)` float64 の点密度(占有ではない。占有が要るなら閾値で
2 値化)。軸順は頂点座標の列順。seed を変えたい・点群も欲しいときは `mesh_to_points` で
点群を作ってから `points_to_voxel` へ。
• 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.
• transforms_repr — py -3.11 examples_3d/transforms_repr.py
voxel as input)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
transform)points_to_voxel · gaussians_to_voxel · mesh_to_points · depth_to_points · voxel_to_mips · 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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.