Abstract
A novel interpolation algorithm for smoothing of successive rotation matrices based on the geodesic distance of special orthogonal group SO(n) is proposed. The derived theory is capable of achieving optimal interpolation and owns better accuracy and robustness than representatives.
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Acknowledgement
This work has been supported by National Natural Science Foundation of China under the grant of No. 41604025.
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Wu, J., Liu, M., Ding, J., Deng, M. (2019). Robust Rotation Interpolation Based on SO(n) Geodesic Distance. In: Tzovaras, D., Giakoumis, D., Vincze, M., Argyros, A. (eds) Computer Vision Systems. ICVS 2019. Lecture Notes in Computer Science(), vol 11754. Springer, Cham. https://doi.org/10.1007/978-3-030-34995-0_12
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DOI: https://doi.org/10.1007/978-3-030-34995-0_12
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