Camera & camera-IMU calibration across toolboxes, on the Calibench datasets.
Each tab is a task track. Methods get one score per track: on every roster dataset,
the method's metric is divided by the best method's metric (capped; unsolved datasets get the
cap) and averaged — robustness and accuracy in a single fair number, with coverage and
common-subset accuracy shown alongside. Sim = vs held-out ground truth (definitive);
Real = GT-free metrics. Results are grouped in batches (evaluation run date) — the
board uses each tool's latest batch; tick Compare batches to track a tool over time. The
calibration parameters behind each row are stored and linked (calib ↗) and compared in
the parameter-agreement panel.
Camera model
Shutter
Sensor
🏅 Method ranking (relative score over the full roster)
⚖️ Score vs runtime▼
Textbox
📋 Per-dataset detail
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🔬 Parameter agreement (calibration results)▼
Estimated parameters across tools on one dataset — the spread (Δ = max−min per camera) is itself a quality signal.