Learning a model from example data

It is very difficult to explicitly model the shape variations that define a shape family. Fortunately, we can still obtain very powerful shape models, by learning the typical deformations that occur within a shape family from a set of normal example shapes.

In this video we will explain what it means for shapes to be in correspondence, and how this helps us to learn shape variations from data. At the end of this video you will be familiar with the most popular type of shape models currently used in science and industry.

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This video is from the free online course:

Statistical Shape Modelling: Computing the Human Anatomy

University of Basel