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What can we learn from large deformation diffeomorphic metric mapping on spaces of rigid bodies?

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GFSW03 - Shape analysis and computational anatomy

The Large Deformation Diffeomorphic Metric Mapping (LDDMM) algorithms rely on a sub-Riemannian metric on the diffeomorphism group with strong smoothness requirements. This talk will describe a series of simple simulations illustrating the effect of such metrics when considering, in particular, the motion of rigid objects subject to the associated least action principle. It will also show why modifications of this metric can be useful in some cases, with some examples provided.

This talk is part of the Isaac Newton Institute Seminar Series series.

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