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Scalismo Lab: building a shape model from data

Learn how to build a statistical shape model from data in correspondence, using Scalismo Lab.
© University of Basel

In this hands-on step, we will learn how to build a statistical shape model from a given dataset of meshes in correspondence, using Principal Component Analysis (PCA) in Scalismo.

Doing so, we will check up on the importance of rigid alignment as we will be building models from both aligned and misaligned datasets.

To access the tutorial document:

  1. Switch to Scalismo Lab
  2. Select the Building a Shape Model from Data 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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Statistical Shape Modelling: Computing the Human Anatomy

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