Probabilistic aspects of shape models

We discuss how the Gaussian Process assumption leads to flexible and practical computer implementations of shape models.

Theory​

• The marginalisation property
• Sampling from a shape model
• Quiz
• Finite rank representations of a Gaussian process
• Principal component analysis
• Quiz

Practice​

The following tutorials show how the concepts are translated into practice using Scalismo.

• Gaussian processes, sampling and marginalization
• Building a shape model from data