Abstract
This paper presents derivations of evolution equations for the family of paths that in the Diffusion PCA framework are used for approximating data likelihood. The paths that are formally interpreted as most probable paths generalize geodesics in extremizing an energy functional on the space of differentiable curves on a manifold with connection. We discuss how the paths arise as projections of geodesics for a (non bracket-generating) sub-Riemannian metric on the frame bundle. Evolution equations in coordinates for both metric and cometric formulations of the sub-Riemannian geometry are derived. We furthermore show how rank-deficient metrics can be mixed with an underlying Riemannian metric, and we use the construction to show how the evolution equations can be implemented on finite dimensional LDDMM landmark manifolds.
Original language | English |
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Title of host publication | Geometric science of information : Second International Conference, GSI 2015, Palaiseau, France, October 28–30, 2015, Proceedings |
Editors | Frank Nielsen, Frédéric Barbaresco |
Number of pages | 9 |
Publisher | Springer Science+Business Media |
Publication date | 2015 |
Pages | 3-11 |
ISBN (Print) | 978-3-319-25039-7 |
ISBN (Electronic) | 978-3-319-25040-3 |
DOIs | |
Publication status | Published - 2015 |
Event | International Conference, GSI 2015 - Palaiseau, France Duration: 28 Oct 2015 → 30 Oct 2015 Conference number: 2 |
Conference
Conference | International Conference, GSI 2015 |
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Number | 2 |
Country/Territory | France |
City | Palaiseau |
Period | 28/10/2015 → 30/10/2015 |
Series | Lecture notes in computer science |
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Volume | 9389 |
ISSN | 0302-9743 |