Building shape models: fundamental concepts in theory and practice

We introduce the fundamental concept of Gaussian Processes, discuss how it generalises the multivariate normal distributions, and build a first shape model.

Theory​

• Modelling shape deformations
• Gaussian Processes: From random vectors to random functions
• Quiz
• Learning a model from example data
• Superimposing shapes
• Quiz

Practice​

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

• Rigid alignment
• From meshes to deformation fields
• Gaussian processes and Point Distribution Models