Description Usage Arguments Value Author(s) References See Also Examples
Performs the exponential map \textrm{Exp}_p(v) on the given manifold.
1 | exp_map(manifold, p, v)
|
manifold |
Type of manifold ( |
p |
A vector (or column matrix) representing a point on the manifold. |
v |
A vector (or column matrix) tangent to |
A vector representing a point on the manifold.
Ha-Young Shin
Fletcher, P. T. (2013). Geodesic regression and the theory of least squares on Riemannian manifolds. International Journal of Computer Vision, 105, 171-185.
Cornea, E., Zhu, H., Kim, P. and Ibrahim, J. G. (2017). Regression models on Riemannian symmetric spaces. Journal of the Royal Statistical Society: Series B, 79, 463-482.
Calinon, S. (2020). Gaussians on Riemannian manifolds: Applications for robot learning and adaptive control. IEEE Robotics & Automation Magazine, 27, 33-45.
Shin, H.-Y. and Oh H.-S. (2020). Robust Geodesic Regression. <arXiv:2007.04518>
1 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.