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Statistical models for deformable templates in image and shape analysis

Stéphanie AllassonnièreJérémie BigotJoan Alexis GlaunèsFlorian MaireFrédéric J.P. Richard — 2013

Annales mathématiques Blaise Pascal

High dimensional data are more and more frequent in many application fields. It becomes particularly important to be able to extract meaningful features from these data sets. Deformable template model is a popular way to achieve this. This paper is a review on the statistical aspects of this model as well as its generalizations. We describe the different mathematical frameworks to handle different data types as well as the deformations. We recall the theoretical convergence properties of the estimators...

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