tacslip op• Data kinds: matrix × matrix × scalar → table
• Call: import fullseye as fs; fs.ledger.marker_match_grow(p0, p1, pitch_px: 'float', seed_tol: 'float' = 0.25, tols=(0.2, 0.3, 0.45), nb_r: 'float' = 1.6, border: 'float' = 2.0, max_iter: 'int' = 80) -> 'dict' (to call the implementation directly, import tacslip; tacslip.marker_match_grow(p0, p1, pitch_px: 'float', seed_tol: 'float' = 0.25, tols=(0.2, 0.3, 0.45), nb_r: 'float' = 1.6, border: 'float' = 2.0, max_iter: 'int' = 80) -> 'dict'; from the registry, opsdrive.get("marker_match_grow"))
Finds the correspondence between reference markers p0 and loaded markers p1 (each (N, 2) [px]) by growing it through continuity. Returns i0, i1 (index arrays of the correspondence) and matched.
> The detailed description below is the original text — the summary and the headings are translated.
規則格子では |u| がピッチ/2 を超えると最近傍も相関も隣のマーカーに飛ぶ(実測: 8 px 格子で 5 px のずれを PIV は −3 px と読む)。種 = p0 の外接矩形の縁(border·ピッチ以内)にあるマーカーで、予測なしの最近傍が seed_tol·ピッチ以内かつ 2 番目が 0.75 ピッチより遠いもの(「接触は視野の内側にあり縁は遠方場 = 小変位」という物理の前提。どこでも種にすると、核の変位 6.4 px が隣の基準位置から 1.6 px なのでピッチ 1 つ飛んだ偽の種が 27 個できた)。以後、未対応のマーカーは nb_r·ピッチ以内の既対応 2 点以上の変位の平均を予測にして tol·ピッチ以内の最近傍を取り、tol は小さい値から段階的に緩める。1 つの p1 は 1 回しか使わない。Raises ValueError: p0/p1 が (N, 2) でない、pitch_px ≤ 0。
• 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.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• (none yet)
table as input)course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same
tacslip)mindlin_partial_slip · mindlin_traction · hertz_surface_ur · hertzian_tangential_inner · cerruti_kernel · cerruti_surface_displacement · membrane_shear_field · membrane_markers
*Provenance: tacslip.py — DRIVE 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.