[prev in list] [next in list] [prev in thread] [next in thread] 

List:       vtkusers
Subject:    [vtkusers] New Submission: Statismo - A framework for PCA based statistical models
From:       Insight Journal <webmaster () insightsoftwareconsortium ! org>
Date:       2012-07-26 11:03:37
Message-ID: 201207261103.q6QB3bFI022241 () insight-journal ! org
[Download RAW message or body]

Hello,

A new submission has been added to the Insight Journal.

Title: Statismo - A framework for PCA based statistical models
Authors: Lüthi M., Blanc R., Albrecht T., Gass T., Goksel O., Büchler P., Kistler \
                M., Bousleiman H., Reyes M., Cattin P., Vetter T.
Abstract: This paper describes the Statismo framework, which is a framework for PCA \
based statistical models.Statistical models are used to describe the variability of \
an object within a population, learned from a set of training samples. Originally \
developed to model shapes, statistical models are now increasingly used to model the \
variation in different kind of data, such as for example images, volumetric meshes or \
deformation fields. Statismo has been developed with the following main goals in \
mind:  1) To provide generic tools for learning different kinds of PCA based \
statistical models, such as shape, appearance or deformations models.  2) To make the \
exchange of such models easier among different research groups and to improve the \
reproducibility of the models.  3) To allow for easy integration of new methods for \
model building into the framework.  To achieve the first goal, we have abstracted all \
the aspects that are specific to a given model and data representation, into a user \
defined class. This does not only make it possible to use Statismo to create \
different kinds of PCA models, but also allows Statismo to be used with any toolkit \
and data format. To facilitate data exchange, Statismo defines a storage format based \
on HDF5, which includes all the information necessary to use the model, as well as \
meta-data about the model creation, which helps to make model building reproducible. \
The last goal is achieved by providing a clear separation between data management, \
model building and model representation. In addition to the standard method for \
building PCA models, Statismo already includes two recently proposed algorithms for \
building conditional models, as well as convenience tools for facilitating \
cross-validation studies. Although Statismo has been designed to be independent of a \
particular toolkit, special efforts have been made to make it directly useful for VTK \
and ITK. Besides supporting model building for most data representations used by VTK \
and ITK, it also provides an ITK transform class, which allows for the integration of \
Statismo with the ITK registration framework. This leverages the efforts from the ITK \
project to readily access powerful methods for model fitting.

Download and review this publication at: http://hdl.handle.net/10380/3371

Generated by the Insight Journal

You are receiving this email because you asked to be informed by the Insight Journal \
for new submissions. To change your email preference visit \
http://www.insight-journal.org .



_______________________________________________
Powered by www.kitware.com

Visit other Kitware open-source projects at http://www.kitware.com/opensource/opensource.html

Please keep messages on-topic and check the VTK FAQ at: http://www.vtk.org/Wiki/VTK_FAQ

Follow this link to subscribe/unsubscribe:
http://www.vtk.org/mailman/listinfo/vtkusers


[prev in list] [next in list] [prev in thread] [next in thread]