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This content is taken from the University of Basel's online course, Statistical Shape Modelling: Computing the Human Anatomy. Join the course to learn more.

Scalismo Lab: from meshes to deformation fields

In this hands-on step, we will build upon the previous tutorial video and learn how to transform a dataset of faces in correspondence into a set of discrete deformation fields that can be analysed and modelled using Gaussian Process theory.

In the full track version, we will start by having a closer look at the difference between modelling point positions and modelling deformations between points.

We will also have a look at the difference between deformation fields defined over discrete and continuous domains and learn how to go from one to the other.

To access the tutorial document:

  1. Switch to Scalismo Lab.
  2. Select the From Meshes to Deformation Fields document under:
    Documents -> Fast track, for the fast track version
    Documents -> Full track, for the full track version

If you have questions, ask them in the comments section here on FutureLearn.

If you are doing the full track version, please remember that the exercises are optional. If you find them too hard, you can continue going through the tutorial without solving the exercises.

Did anything go wrong and you have a weird shape output? Post it in our Shapes Gone Wrong Padlet!

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This article is from the free online course:

Statistical Shape Modelling: Computing the Human Anatomy

University of Basel