resolution op• Data kinds: mesh → points
• Call: import fullseye as fs; fs.ledger.mesh_sample_points(V, F, spacing=None, n=None, method='poisson', seed=0, oversample=6) (to call the implementation directly, import meshres; meshres.mesh_sample_points(V, F, spacing=None, n=None, method='poisson', seed=0, oversample=6); from the registry, ops3d.get("mesh_sample_points"))
Surface samples at a stated spacing — area-weighted random or Poisson-disk (points).
method="area" draws *n* points with probability ∝ face area (uniform per unit area, but with the clumps of any random sample). method="poisson" draws oversample × A/spacing² area-weighted candidates and keeps them greedily so that no two samples are closer than *spacing* (blue noise — the spacing is a guarantee, the count ≈ 0.7·A/spacing²). Give *spacing* (mesh units) for Poisson, *n* for area sampling; deterministic per *seed*.
• depth_sensors — Depth sensors — ranging principles, real-device figures, how dropouts appear
• 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.
• mesh_resolution_demo — py -3.11 examples_3d/mesh_resolution_demo.py
points as input)points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d
resolution)mesh_edge_stats · mesh_detail_map · mesh_split_long_edges · mesh_isotropic_remesh · 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).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.