Accuracy enhancement of omnidirectional camera calibration for structure from motion

This paper presents a technique to enhance accuracy of omnidirectional camera calibration which is applied structure from motion. We use two omnidirectional images of a predefined trihedron with checker board taken by a calibrate camera at an arbitrary location. Then, several point matches were picked manually from both views of the object. After that, compute and perform a 3D metric reconstruction of a real object from both images, by using the geometrical approach model estimated by single view calibration method. Then improved by the minimization error the distances among trihedral object use our proposed method. The overall experimental results show our proposed method gave smaller distance error.