Fisheye cameras are special cameras that have a much larger field of view compared to

conventional cameras. The large field of view comes at a price of non-linear distortions

introduced near the boundaries of the images captured by such cameras. Despite this

drawback, they are being used increasingly in many applications of computer vision,

robotics, reconnaissance, astrophotography, surveillance and automotive applications.

The images captured from such cameras can be corrected for their distortion if the

cameras are calibrated and the distortion function is determined. Calibration also allows

fisheye cameras to be used in tasks involving metric scene measurement, metric

scene reconstruction and other simultaneous localization and mapping (SLAM) algorithms.

This thesis presents a calibration toolbox (FisheyeCDC Toolbox) that implements a collection of some of the most widely used techniques for calibration of fisheye cameras under one package. This enables an inexperienced user to calibrate his/her own camera without the need for a theoretical understanding about computer vision and camera calibration. This thesis also explores some of the applications of calibration such as distortion correction and 3D reconstruction.