Fisheye Image Calibration in MATLAB

Resource Overview

A simple and ready-to-run MATLAB implementation. This function maps diametric pixel points onto a hemispherical surface arc, where the calibrated length equals π*r, representing the theoretical arc length of a semicircle.

Detailed Documentation

This MATLAB implementation is straightforward and executable. The function FisheyeImageCalibration() performs geometric correction by mapping pixels along the diameter of the fisheye image onto a hemispherical arc. The calibrated length should theoretically equal π*r, corresponding to the arc length of a semicircle with radius r. The implementation achieves this by first calculating the arc length of the hemispherical surface and then mapping diametric pixels onto this arc. The calibration process ensures the corrected length equals the semicircular arc length (π*r). The FisheyeImageCalibration() function provides a practical solution with immediate execution capability. This approach effectively corrects image distortion by ensuring accurate pixel mapping while preserving the core geometric principle of hemispherical projection. Key implementation details include: 1. Diameter-to-arc pixel mapping algorithm 2. Geometric transformation maintaining π*r length relationship 3. Direct execution without complex preprocessing The method ensures reliable image correction while maintaining mathematical accuracy in pixel repositioning.