Further reading

To learn more about capture design, target selection, camera models, and interpreting your results, explore the Calib.io knowledge base. These articles provide optional background; you do not need to read them to follow this guide.

Acquisition and targets

• Calibration Best Practices: planning coverage, orientation, focus, lighting, and stable capture.
• 5 Biggest Calibration Mistakes: common failures involving poses, flexibility, motion, lighting, and target size.
• Target Poses: Constraints, Rank, and Correlation: how geometry affects identifiability and parameter coupling.
• Calibration Patterns Explained: pattern selection and the benefits and limitations of different target types.
• Exploring Calibration Target Substrates: target materials and physical stability.

Models and interpretation

• Camera Calibration Explained: the purpose and basic components of calibration.
• Camera Models Explained: projection, distortion, and model parameters.
• Understanding Reprojection Error: residual definitions, statistics, and error sources.
• Understanding Parameter Uncertainty: data support, model flexibility, and the consequences of parameter uncertainty.

Older articles use the name Calibrator and may show a previous interface. Use this guide for current controls and workflows.

Continue with Analysis for a workflow that connects these principles to the current diagnostics.