MC-Calib
- Software
- Perception
- Tool
MC-Calib is a toolbox for calibrating multi-camera systems, including mixed rigs of perspective and fisheye cameras, using Charuco boards. It is described in a published paper.
Source on GitHub: github.com/rameau-fr/MC-Calib (opens in a new tab). Facts read at commit 77cb043 (opens in a new tab).
Licenses
- Code
- MIT (opens in a new tab)
Read by Robotheca from LICENSE (opens in a new tab) (MIT) at commit 77cb043 (opens in a new tab), on 22 Oct 2026.
- Commercial use
- Yes
What it does
- Generates Charuco calibration boards, including boards with different square counts and sizes.
- Calibrates intrinsics and extrinsics of synchronized cameras from image sequences.
- Supports perspective (Brown) and fisheye (Kannala) distortion models, per camera if needed.
- Outputs camera parameters, 3D board structure, board poses, and reprojection error logs as YAML files.
- Includes a post-calibration analysis script in Python and sample configuration files.
- Provides a Docker image as the recommended way to run it, plus a compile-from-source route.
Written by Robotheca from the project's README (opens in a new tab) at commit 77cb043.
Getting started
- Difficulty
- Intermediate
- How to start
- The project's README (opens in a new tab)
Maintenance
- Status
- Active: a commit in the last 90 days
- Newest commit
- 5 Oct 2026 on master
- Latest release
- v1.5.0 (27 Jul 2026)
Checked on GitHub on 22 Oct 2026.
Links
Robots that can run it
No robot on Robotheca is linked to it yet. Links come from a robot's robot.yaml, from its dependency files read as text, or from Robotheca's editors.
Robotheca lists software as a reference: nothing is hosted or run here, and every fact links to where it was read.