September 5, 2022 to December 9, 2022
Europe/Paris timezone
Financial support for the participation to the quarter is now closed

Barbara Gris - Defining Data-Driven Deformation Models

Oct 14, 2022, 9:00 AM
Amphitheater Hermite, IHP

Amphitheater Hermite, IHP


Studying shapes through large deformations allows to define a metric on a space of shapes from a metric on a space of deformations. When the set of considered deformations is not rel-evant to the observed data, the geodesic paths for this metric can be deceiving from a model-ling point of view. To overcome this issue, the notion of deformation module allows to incorpo-rate prior coming from the data in the set of considered deformations and the metric. I will pre-sent this framework, as well as the IMODAL library which enables to perform registration through such structured deformations. This Python library is modular: adapted priors can be easily defined by the user, several priors can be combined into a global one and various types of data can be considered such as curves, meshes or images.
This is a joint work with Benjamin Charlier, Leander Lacroix and Alain Trouvé.

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