  This paper proposes a RANSAC-based algorithm for determining the axial
rotation angle of an object from a pair of its tomographic projections. An
equation is derived for calculating the rotation angle using one correct
keypoints correspondence of two tomographic projections. The proposed algorithm
consists of the following steps: keypoints detection and matching, rotation
angle estimation for each correspondence, outliers filtering with the RANSAC
algorithm, finally, calculation of the desired angle by minimizing the
re-projection error from the remaining correspondences. To validate the
proposed method an experimental comparison against methods based on analysis of
the distribution of the angles computed from all correspondences is conducted.
