typed op• 資料種類:matrix → matrix
• 呼叫:fullseye.apply(img, "tb_stat_covariance", a=0.5, b=0.5)(2-D 的模型是一張圖 + 兩個純量旋鈕 a,b∈[0,1])
`(N, D) 觀測資料的樣本共變異數矩陣 → (D, D)`。
> 以下的詳細說明為原文 —— 摘要與標題已翻譯。
Rows are observations, columns are variables — the `(N, D)` orientation
every Fullseye point/sample API uses (note `np.cov` defaults to the
*transposed* convention). Uses the unbiased `ddof=1` estimator (divides
by `N - 1), hence the N >= 2` requirement. The diagonal holds the
per-variable sample variances; the result is symmetric positive
semi-definite by construction, so it can go straight into
:func:mat_eigh for principal axes (the covariance-ellipse workflow).
HALCON: no public tuple/matrix operator — covariance lives inside HALCON's
calibration and matching internals only.
Typed bridge of the math op `stat_covariance into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• (尚無)
matrix 作為輸入)identity · tb_mat_pinv · tb_mat_cond · tb_stat_correlation
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal
*Provenance: ops.py — 2D 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.