fullseye

mesh_sample_points — 3D resolution op

• データ種: mesh → points
• 呼び出し: import fullseye as fs; fs.ledger.mesh_sample_points(V, F, spacing=None, n=None, method='poisson', seed=0, oversample=6) (実装を直接呼ぶなら import meshres; meshres.mesh_sample_points(V, F, spacing=None, n=None, method='poisson', seed=0, oversample=6)、台帳から引くなら ops3d.get("mesh_sample_points"))

使い方

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.

背景知識ガイド(この op の手前にある物理・規約)

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

参考(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• mesh_resolution_demo — py -3.11 examples_3d/mesh_resolution_demo.py

型が繋がる次の op(points を入力に取れる)

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

同カテゴリ(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

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Provenance: meshres.py — 3D operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.

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