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Shape completion using Gaussian Process regression

Watch Ghazi Bouabene explain how to apply Gaussian Process regression in Scalismo and use it to retrieve the missing nose in a target face.

Let’s give Professor Vetter his nose back! Here we see how to apply Gaussian Process regression in Scalismo to retrieve the most fitting nose shape to a face without a nose.

By building a posterior shape model, we not only retrieve the most probable nose, but a whole normal distribution of probable noses all matching the face of the head of our research group, Thomas Vetter.

Each tutorial video is followed by a companion document that you will find in the consecutive Scalismo Lab step.

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Statistical Shape Modelling: Computing the Human Anatomy

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