find_caltab — CALIB target op

• Data kinds: image2d → keypoints

• Call: import fullseye as fs; fs.ledger.find_caltab(image, thresh=0.5) (to call the implementation directly, import caltab; caltab.find_caltab(image, thresh=0.5); from the registry, opscalib.get("find_caltab"))

• HALCON equivalent: find_caltab (the HALCON reference is a useful guide to its meaning and parameters)

• GPU: none (CPU reference implementation only)

Usage

Detects the centres of the circular marks of a calibration plate in an image (centroids of connected components) (find_caltab).

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_caltab_chain_truth — py -3.11 examples/poc_caltab_chain_truth.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 (target)

caltab_points · create_caltab · gen_caltab · sim_caltab · disp_caltab

*Provenance: caltab.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.