Skip main navigation

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.

This article is from the free online

Statistical Shape Modelling: Computing the Human Anatomy

Created by
FutureLearn - Learning For Life

Reach your personal and professional goals

Unlock access to hundreds of expert online courses and degrees from top universities and educators to gain accredited qualifications and professional CV-building certificates.

Join over 18 million learners to launch, switch or build upon your career, all at your own pace, across a wide range of topic areas.

Start Learning now