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Robust Rotation Interpolation Based on SO(n) Geodesic Distance

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Computer Vision Systems (ICVS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11754))

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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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Authors and Affiliations

  1. Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Hong Kong, China

    Jin Wu & Ming Liu

  2. International Joint Research Center for Data Science and High-Performance Computing, School of Information, Guizhou University of Finance and Economics, Guizhou, China

    Jian Ding & Mingsen Deng

Authors
  1. Jin Wu
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  2. Ming Liu
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  3. Jian Ding
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  4. Mingsen Deng
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Corresponding author

Correspondence to Ming Liu .

Editor information

Editors and Affiliations

  1. Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece

    Dimitrios Tzovaras

  2. Centre for Research and Technology Hellas (CERTH-ITI), Thessaloniki, Greece

    Dimitrios Giakoumis

  3. Vienna University of Technology, Vienna, Austria

    Markus Vincze

  4. Foundation for Research and Technology Hellas (FORTH), Heraklion, Greece

    Antonis Argyros

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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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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-34994-3

  • Online ISBN: 978-3-030-34995-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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