1-point RANSAC for circular motion estimation in computed tomography (CT)

Mikhail O. Chekanov; Oleg S. Shipitko; Anton S. Grigoryev; Egor I. Ershov

doi:10.1117/12.2559671

31 January 2020 1-point RANSAC for circular motion estimation in computed tomography (CT)

Mikhail O. Chekanov, Oleg S. Shipitko, Anton S. Grigoryev, Egor I. Ershov

Proceedings Volume 11433, Twelfth International Conference on Machine Vision (ICMV 2019); 1143332 (2020) https://doi.org/10.1117/12.2559671
Event: Twelfth International Conference on Machine Vision, 2019, Amsterdam, Netherlands

Abstract

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 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 the proposed method an experimental comparison against methods based on analysis of the distribution of the angles computed from all correspondences is conducted.

Citation Download Citation

Mikhail O. Chekanov, Oleg S. Shipitko, Anton S. Grigoryev, and Egor I. Ershov "1-point RANSAC for circular motion estimation in computed tomography (CT)", Proc. SPIE 11433, Twelfth International Conference on Machine Vision (ICMV 2019), 1143332 (31 January 2020); https://doi.org/10.1117/12.2559671

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