sim_caltab — CALIB target op

• Data kinds: table → table

• Call: import fullseye as fs; fs.ledger.sim_caltab(caltab, cam_par, pose, image_size=256, mark_radius=3.0) (to call the implementation directly, import caltab; caltab.sim_caltab(caltab, cam_par, pose, image_size=256, mark_radius=3.0); from the registry, opscalib.get("sim_caltab"))

• GPU: none (CPU reference implementation only)

Usage

Simulates the image of a calibration plate projected with a given camera pose (sim_caltab).

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

world = (x, y, 0) with (y, x) = caltab["points"] そのまま(中心化しない)。

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)

• (none yet)

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

image_points_to_world_plane · contour_to_world_plane_xld · disp_caltab · calibration_error_map · calibration_uncertainty_map · calibration_next_pose

Same category (target)

caltab_points · create_caltab · gen_caltab · disp_caltab · find_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.