Shape Spaces and Shape Modelling Analysis of planar shapes in a Riemannian framework

Kähler, Maximilian
Abstract in English: 
This dissertation presents some of the recent developments in the modelling of shape spaces. Forming the basis for a quantitative analysis of shapes, this is relevant for many applications involving image recognition and shape classification. All shape spaces discussed in this work arise from the general situation of a Lie group acting isometrically on some Riemannian manifold. The first chapter summarizes the most important results about this general set-up, which are well known in other branches of mathematics. A particular focus is laid on Hamiltonian methods that explore the relation of symmetry and conserved momenta. As a classical example these results are applied to Kendall’s shape space. More recent approaches of continuous shape models are then summarized and put in the same concise framework. In more detail the square root velocity shape representation, recently developed by Srivastava et al., is being discussed. In particular, the phenomenon of unclosed orbits under the action of reparametrization is addressed. This issue is partially resolved by an extended equivalence relation along with a well defined, non-degenerate, metric on the resulting quotient space.
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