# Calibration Wizard: A Guidance System for Camera Calibration Based on Modelling Geometric and Corner Uncertainty

arXiv: https://arxiv.org/abs/1811.03264 · HTML: https://mlsanity.com/paper/1811.03264/

## Key facts

- Cited by 15 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Nov 2018.

## Built on by (most cited first, 15 of 15)

- [Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty](https://mlsanity.com/paper/2104.08278/) (2021)
- [Camera Calibration using a Collimator System](https://mlsanity.com/paper/2409.20034/) (2024)
- [Refractive Geometry for Underwater Domes](https://mlsanity.com/paper/2108.06575/) (2021)
- [Inferring bias and uncertainty in camera calibration](https://mlsanity.com/paper/2107.13484/) (2021)
- [Optimal Pose Guidance for Stereo Calibration in 3D Deformation Measurement](https://mlsanity.com/paper/2511.18317/) (2025)
- [A Model for Multi-View Residual Covariances based on Perspective Deformation](https://mlsanity.com/paper/2202.00765/) (2022)
- [DAC: Detector-Agnostic Spatial Covariances for Deep Local Features](https://mlsanity.com/paper/2305.12250/) (2023)
- [Modeling dynamic target deformation in camera calibration](https://mlsanity.com/paper/2110.07322/) (2021)
- [Camera Calibration via Circular Patterns: A Comprehensive Framework with Detection Uncertainty and Unbiased Projection Model](https://mlsanity.com/paper/2506.16842/) (2025)
- [Visualizing and Alleviating the Effect of Radial Distortion on Camera Calibration Using Principal Lines](https://mlsanity.com/paper/2206.14164/) (2022)
- [The Influence of Autofocus Lenses in the Camera Calibration Process](https://mlsanity.com/paper/2402.04686/) (2024)
- [A Calibration Tool for Refractive Underwater Vision](https://mlsanity.com/paper/2405.18018/) (2024)
- [Generic Calibration: Pose Ambiguity/Linear Solution and Parametric-hybrid Pipeline](https://mlsanity.com/paper/2508.07217/) (2025)
- [Flexible Camera Calibration using a Collimator System](https://mlsanity.com/paper/2512.16113/) (2025)
- [Automatic Reproducible Camera Intrinsic Calibration](https://mlsanity.com/paper/2609.10082/) (2026)

## Abstract (arXiv)

It is well known that the accuracy of a calibration depends strongly on the choice of camera poses from which images of a calibration object are acquired. We present a system -- Calibration Wizard -- that interactively guides a user towards taking optimal calibration images. For each new image to be taken, the system computes, from all previously acquired images, the pose that leads to the globally maximum reduction of expected uncertainty on intrinsic parameters and then guides the user towards that pose. We also show how to incorporate uncertainty in corner point position in a novel principled manner, for both, calibration and computation of the next best pose. Synthetic and real-world experiments are performed to demonstrate the effectiveness of Calibration Wizard.