This guide explains the theory, physical models, and operation of the OMC Camera Calibration Software (Version 2.21).
The OMC Camera Calibration Software Guide provides an overview of why camera calibration is needed, the geometric models of ideal and imperfect cameras, and the mathematical foundations such as collinearity equations and distortion correction. It also describes the software’s features, including single‑ and multi‑camera calibration, distortion correction, and generation of calibration reports.
The document details the calibration workflow, from preparing input data and selecting appropriate models to running the software, analyzing residuals, and applying scale. Example results for two cameras are presented, showing typical parameter values and residual errors, followed by practical recommendations for independent calibration of multiple cameras.
| Principal distance (pd) | 8.5307e+000 |
|---|---|
| Principal point offset x0 | 1.0033e-001 |
| Principal point offset y0 | -4.1587e-002 |
| Radial distortion coefficient k1 | 2.8426e-003 |
| Radial distortion coefficient k2 | -1.4824e-005 |
| 2‑D image residual RMS | 0.2041 microns (1/32 pixel) |
The purpose of camera calibration is to allow the user to correct images so the imperfect camera can be treated as a perfect one.
The software can use more than 40 images and hundreds of target points.
A typical residual error is 0.2041 microns, which is about 1/32 of a pixel.