Abstract
This paper presents a derivation of the parallel transport equation expressed in the Lie algebra of a Lie group endowed with a left-invariant metric. The use of this equation is exemplified on the group of rigid body motions SE(3), using basic numerical integration schemes, and compared to the pole ladder algorithm. This results in a stable and efficient implementation of parallel transport. The implementation leverages the python package and is available online.
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References
Arnold, V.: Sur la géométrie différentielle des groupes de Lie de dimension infinie et ses applications à l’hydrodynamique des fluides parfaits. Annales de l’institut Fourier 16(1), 319–361 (1966). https://doi.org/10.5802/aif.233
Barbaresco, F., Gay-Balmaz, F.: Lie group cohomology and (Multi) symplectic integrators: new geometric tools for lie group machine learning based on souriau geometric statistical mechanics. Entropy 22(5), 498 (2020). https://doi.org/10.3390/e22050498
Barrau, A., Bonnabel, S.: The invariant extended kalman filter as a stable observer. IEEE Trans. Autom. Control 62(4), 1797–1812 (2017). https://doi.org/10.1109/TAC.2016.2594085
Brooks, D., Schwander, O., Barbaresco, F., Schneider, J.Y., Cord, M.: Riemannian batch normalization for SPD neural networks. In: Wallach, H., Larochelle, H., Beygelzimer, A., d’Alché Buc, F., Fox, E., Garnett, R. (eds.) Advances in Neural Information Processing Systems 32, pp. 15489–15500. Curran Associates, Inc. (2019)
Cendra, H., Holm, D.D., Marsden, J.E., Ratiu, T.S.: Lagrangian reduction, the euler-Poincaré equations, and semidirect products. Am. Math. Soc. Translations 186(1), 1–25 (1998)
Gallier, J., Quaintance, J.: Differential Geometry and Lie Groups. GC, vol. 12. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-46040-2
Gay-Balmaz, F., Holm, D.D., Meier, D.M., Ratiu, T.S., Vialard, F.X.: Invariant higher-order variational problems II. J Nonlinear Sci. 22(4), 553–597 (2012). https://doi.org/10.1007/s00332-012-9137-2, http://arxiv.org/abs/1112.6380
Guigui, N., Pennec, X.: Numerical Accuracy of Ladder Schemes for Parallel Transport on Manifolds (2021). https://hal.inria.fr/hal-02894783
Hauberg, S., Lauze, F., Pedersen, K.S.: Unscented Kalman filtering on Riemannian manifolds. J. Math. Imaging Vis. 46(1), 103–120 (2013). https://doi.org/10.1007/s10851-012-0372-9
Iserles, A., Munthe-Kaas, H., Nørsett, S., Zanna, A.: Lie-group methods. Acta Numerica (2005). https://doi.org/10.1017/S0962492900002154
Journée, M., Absil, P.-A., Sepulchre, R.: Optimization on the orthogonal group for independent component analysis. In: Davies, M.E., James, C.J., Abdallah, S.A., Plumbley, M.D. (eds.) ICA 2007. LNCS, vol. 4666, pp. 57–64. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-74494-8_8
Kim, K.R., Dryden, I.L., Le, H., Severn, K.E.: Smoothing splines on Riemannian manifolds, with applications to 3D shape space. J. Royal Stat. Soc. Series B (Statistical Methodology) 83(1), 108–132 (2020)
Kolev, B.: Lie Groups and mechanics: an introduction. J. Nonlinear Math. Phys. 11(4), 480–498 (2004). https://doi.org/10.2991/jnmp.2004.11.4.5. arXiv: math-ph/0402052
Lorenzi, M., Pennec, X.: Efficient parallel transport of deformations in time series of images: from schild to pole ladder. J. Math. Imaging Vis. 50(1), 5–17 (2014). https://doi.org/10.1007/s10851-013-0470-3
Mahony, R., Manton, J.H.: The geometry of the Newton method on non-compact lie groups. J. Global Optim. 23(3), 309–327 (2002). https://doi.org/10.1023/A:1016586831090
Marsden, J.E., Ratiu, T.S.: Mechanical systems: symmetries and reduction. In: Meyers, R.A. (ed.) Encyclopedia of Complexity and Systems Science, pp. 5482–5510. Springer, New York (2009). https://doi.org/10.1007/978-0-387-30440-3_326
Milnor, J.: Curvatures of left invariant metrics on lie groups. Adv. Math. 21(3), 293–329 (1976). https://doi.org/10.1016/S0001-8708(76)80002-3
Miolane, N., et al.: Geomstats: a python package for riemannian geometry in machine learning. J. Mach. Learn. Res. 21(223), 1–9 (2020). http://jmlr.org/papers/v21/19-027.html
Nava-Yazdani, E., Hege, H.C., Sullivan, T.J., von Tycowicz, C.: Geodesic analysis in Kendall’s shape space with epidemiological applications. J. Math. Imaging Vis. 62(4), 549–559 (2020). https://doi.org/10.1007/s10851-020-00945-w
Pennec X., Arsigny, V.: Exponential barycenters of the canonical cartan connection and invariant means on lie groups. In: Nielsen, F., Bhatia, R. (eds.) Matrix Information Geometry, pp. 123–166. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-642-30232-9_7
Yair, O., Ben-Chen, M., Talmon, R.: Parallel transport on the cone manifold of SPD matrices for domain adaptation. IEEE Trans. Sig. Process. 67, 1797–1811 (2019). https://doi.org/10.1109/TSP.2019.2894801
Acknowledgments
This work was partially funded by the ERC grant Nr. 786854 G-Statistics from the European Research Council under the European Union’s Horizon 2020 research and innovation program. It was also supported by the French government through the 3IA Côte d’Azur Investments ANR-19-P3IA-0002 managed by the National Research Agency.
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Guigui, N., Pennec, X. (2021). A Reduced Parallel Transport Equation on Lie Groups with a Left-Invariant Metric. In: Nielsen, F., Barbaresco, F. (eds) Geometric Science of Information. GSI 2021. Lecture Notes in Computer Science(), vol 12829. Springer, Cham. https://doi.org/10.1007/978-3-030-80209-7_14
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