1-point RANSAC for Circular Motion Estimation in Computed Tomography (CT)

摘要

This paper proposes a RANSAC-based algorithm for determining the axial rotation angle of an object from a pair of itstomographic projections. An equation is derived for calculating the rotation angle using one correct keypoints correspondenceof two tomographic projections. The proposed algorithm consists of the following steps: keypoints detection andmatching, rotation angle estimation for each point 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 theproposed method an experimental comparison against methods based on analysis of the distribution of the angles computedfrom all correspondences is conducted.