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Livia Barazzetti edited this page May 7, 2017 · 23 revisions

Introduction

Statismo provides a flexible framework for generating and manipulating Statistical Shape and Image Models.

The idea behind such models is to generate a compact, low dimensional probability distribution model of the variability, such that new, statistical plausible samples may be extracted, or that a given object may be approximated through a small set of parameters. The most commonly known examples of such models are the Eigenfaces model (Eigenfaces), Active Shape and Appearence models (ASM, AAM) and the 3D Morphable Model (3DMM). Statismo can be used to build and represent all of these models.

Statismo is designed to be independent of the representation of the given data set and can thus be used with many different standard libraries such as VTK and ITK. The link to these libraries is given by a special Representer class, which abstracts all library specific representations and also provides methods to convert the datasets to the vector representation used by Statismo.

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