typed op• Data kinds: points → signal
• Call: fullseye.apply(img, "tb_iss_keypoints", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*No figure: this op takes points as input. A Studio program starting from an image cannot reach that type — see the runnable examples below for how it is used.*
ISS (Intrinsic Shape Signatures, equivalent to a 3D Harris) keypoint detector. Uses the smallest eigenvalue λ3 of the local covariance as the saliency, restricts candidates to points whose eigenvalues are distinct (i.e. well-defined orientation), and sparsely selects them via NMS. Rotation-invariant. Returns an array of point indices.
> The detailed description below is the original text — the summary and the headings are translated.
2-D 進化レジストリへ橋渡しした 3d の op `iss_keypoints。実装は同じで、呼び出し規約だけ op(v, a, b) に合わせてある。a が gamma21(既定 0.99)、b が gamma32`(既定 0.99)を振る。
• 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.
• (none yet)
signal as input)identity · tb_create_funct_1d_array · tb_smooth_funct_1d_gauss · tb_smooth_funct_1d_mean · tb_derivate_funct_1d · tb_integrate_funct_1d · tb_zero_crossings_funct_1d · tb_abs_funct_1d
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal · tb_voxel_grid_downsample
*Provenance: ops.py — 2D 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.