checkerboard_points — CALIB checkerboard op

• Data kinds: none → keypoints (an op determined by its arguments alone — it takes no image or data input)

• Call: import fullseye as fs; fs.ledger.checkerboard_points(pattern_size, square_size) (to call the implementation directly, import calib_lm; calib_lm.checkerboard_points(pattern_size, square_size); from the registry, opscalib.get("checkerboard_points"))

• GPU: none (CPU reference implementation only)

Usage

Returns the board coordinates (x, y) of the inner corners of a checkerboard in row-major order (keypoints).

> The detailed description below is the original text — the summary and the headings are translated.

Board coordinates (x, y) of the inner corners of a checkerboard with pattern_size = (cols, rows) inner corners and squares of square_size (mm), row-major: index r·cols + c is (c·square, r·square). The first corner is the origin (OpenCV's convention for findChessboardCorners). The board has (cols + 1) x (rows + 1) squares.

Raises ValueError: cols・rows が 2 未満・整数でない、square_size が正でない。

Detailed usage guide

• camera_calibration family guide

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• poc_calibration_truth_map — py -3.11 examples/poc_calibration_truth_map.py

Ops the type connects to (they accept keypoints as input)

image_to_world_plane · camera_calibration · camera_calibration_lm · stereo_calibration_lm · vector_to_rigid · vector_to_similarity · hom_vector_to_proj_hom_mat2d

Same category (checkerboard)

sim_checkerboard · find_checkerboard_corners


*Provenance: calib_lm.py — CALIB 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.