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Scalismo Lab: Gaussian Processes and point distribution models

Use Scalismo Lab to visualize the relation between statistical shape models, or point distribution models and Gaussian Processes.
© University of Basel

In this hands-on step, we will reproduce what we saw in the previous tutorial video and use Scalismo Lab to understand the relation between Gaussian Processes and statistical shape models in Scalismo.

We will start by sampling the mean mesh of a statistical shape model and the mean deformation of the Gaussian Process associated with the model, and visualise how the two relate.

In the full track version, you will have the opportunity to explore for yourself how the two concepts relate also when sampling from a statistical shape model.

To access the tutorial document:

  1. Switch to Scalismo Lab.
  2. Select the Gaussian Processes and Point Distribution Models 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!

© University of Basel
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