A Toolbox For Calibrating Fundus Camera

Camera calibration has many applications in various fields of computer vision, such as 3d reconstruction, object recognition and pose estimation. It consists in finding the intrinsic parameters and, possibly, the extrinsic parameters of a camera. The intrinsic parameters of a camera include parameters related to the camera itself such as focal length and distortion. The extrinsic parameters indicate the position of the camera in relation to a global coordinate system. In this article, we focus on the calibration of a fundus camera from the background images of the eye, for this we propose a popular calibration technique developed by Jean-Yves Bouguet. The modification attempted in this research aims to exploit our knowledge of the human eye in the manual selection of the extreme corners of the calibration chart. Our method is simple and gives good results.