pc_density_equalize — 3D resolution op

• Data kinds: points → points

• Call: import fullseye as fs; fs.ledger.pc_density_equalize(points, spacing, k=8, seed=0) (to call the implementation directly, import meshres; meshres.pc_density_equalize(points, spacing, k=8, seed=0); from the registry, ops3d.get("pc_density_equalize"))

Usage

Fill the sparse regions, then thin the dense ones: uniform spacing (points).

pc_fill_sparse followed by pc_poisson_disk with radius 0.8 × spacing (the Poisson radius is a minimum, the k-NN spacing a typical value; 0.8 keeps the median spacing at the target). Measured on a cloud with a 6× density contrast: p95/p5 of spacing from 4.2 to ≤ 1.6.

Background guides (the physics and conventions behind this op)

• depth_sensors — Depth sensors — ranging principles, real-device figures, how dropouts appear

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 points as input)

points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d

Same category (resolution)

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

*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.