superquadric op• Data kinds: points → primitive
• Call: import fullseye as fs; fs.ledger.fit_superquadric(points) -> 'dict' (to call the implementation directly, import superquadric; superquadric.fit_superquadric(points) -> 'dict'; from the registry, ops3d.get("fit_superquadric"))
Fit a superquadric to a point set with least_squares and return dict{a, eps, R, t, residual}.
> The detailed description below is the original text — the summary and the headings are translated.
初期姿勢 = 慣性テンソル固有ベクトル、初期 a = 主軸 bbox 半分、初期 eps=(1,1)。
`a は正、eps` は [0.1, 2.0] にクリップして最適化する。
Returns
-------
dict: {'a': (3,), 'eps': (2,), 'R': (3,3), 't': (3,), 'residual': float}
• 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.
• superquadric_fit — py -3.11 examples_3d/superquadric_fit.py
primitive as input)fuse_to_voxel · angle_between_lines · angle_between_planes · angle_line_plane · distance_point_plane · distance_point_line · distance_line_line · distance_segment_segment
superquadric)sample_surface · inside_outside · superquadric_residual
*Provenance: superquadric.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.