mesh_edge_stats — 3D `resolution` op

• Data kinds: mesh → table

• Call: import fullseye as fs; fs.ledger.mesh_edge_stats(V, F) (to call the implementation directly, import meshres; meshres.mesh_edge_stats(V, F); from the registry, ops3d.get("mesh_edge_stats"))

Usage

Edge-length and face-area percentiles with non-uniformity ratios (`table`).

`edge / area` hold p5 / median / p95 / max / min / mean;

`edge_nonuniformity = p95/p5 of edge length and area_nonuniformity`

= p95/p5 of face area (1 = perfectly uniform; the Itokawa 49k model gives

2.8 / 2.7); `n_vertices, n_faces, n_edges, bbox_diagonal`,

`boundary_edges` (edges with one face — 0 for a closed surface),

`non_manifold_edges` (edges with more than two faces). Use it before

adding synthetic detail: if the ratio is far from 1, the detail you add at

a fixed wavelength will alias on the coarse part and resolve on the fine

part — remesh first (:func:mesh_isotropic_remesh).

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)

• mesh_resolution_demo — py -3.11 examples_3d/mesh_resolution_demo.py

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

fuse_to_voxel · mesh_select_lod

Same category (`resolution`)

mesh_detail_map · mesh_split_long_edges · mesh_isotropic_remesh · mesh_sample_points · mesh_lod_chain · mesh_select_lod · mesh_reduction_report · mesh_decimate_preserving

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

mesh_edge_stats — 3D resolution op