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Coplanarity-Based Approach for Camera Motion Estimation Invariant to the Scene Depth

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Abstract

In this paper, we propose a method for estimating the parameters of camera movement from images obtained from this camera. This method is equally effectively applicable to flat and three-dimensional scenes. The proposed method allows avoiding the restrictions imposed on the set of initial data when using the fundamental matrix and the projective transformation matrix.

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Funding

The work was supported by the Ministry of Science and Higher Education of the Russian Federation of the Russian Federation as a part of the “Priority 2030” federal strategic academic leadership program under “2021–2030 Samara University Development Program” and state assignment no. 0777-2020-0017.

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  1. Samara National Research University, 443086, Samara, Russia

    Y. Goshin

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  1. Y. Goshin
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Correspondence to Y. Goshin.

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Goshin, Y. Coplanarity-Based Approach for Camera Motion Estimation Invariant to the Scene Depth. Opt. Mem. Neural Networks 31 (Suppl 1), 22–30 (2022). https://doi.org/10.3103/S1060992X22050058

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  • DOI: https://doi.org/10.3103/S1060992X22050058

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