Summerschool on Probabilistic Morphable Models

A follow-up on the online course on statistical shape modelling

June 6th - June 10th, 2017
Basel, Switzerland

Endorsed by

Probabilistic Morphable Models


Probabilistic Morphable Models are a fully probabilistic approach to model-based image analysis, based on:

  • the theory of Gaussian processes for modelling shapes
  • Markov chain Monte Carlo methods for model fitting
  • a software framework for efficient development of image analysis solutions.

This course teaches the theoretical basis of shape modelling and model fitting, and provides an introduction on how to use the software framework Scalismo for practial applications in medical image analysis and 2D face image analysis.

Course organization

The course consists of two parts: The basic theory on shape modelling and practical introduction to Scalismo is given as a open online course and taken individually by the participants. Participants of this course, who submit a solution to the course project, are invited to attend the summer school, which is hosted at the University of Basel. In the summer school, participants will learn about probabilistic methods for model fitting, and can deepen their knowledge on shape modelling in practical projects.

Target audience

The intended audience for the course are beginning graduate students and researchers in computer vision and medical image analysis, who plan to apply statistical shape models as part of their work.

Prerequisite is good knowledge of basic probability theory and statistica as well as linear algebra. Participants should have basic programming skills in at least one programming language (ideally Java, C++ or Python).



Classes will take place at the Deparment of Mathematics and Computer Science of the University of Basel.


Basel is the second largest town in Switzerland. It can be reached by plane, by either flying directly to Basel Airport, or to Zurich (1 hour train ride to Basel).

Registration fee

The summerschool is free of charge, but all participants need to organize their stay (travel, accomodation, food) by themselves.


We will soon provide a list of hotels, from which the department can conveniently be reached.



Sandro Schönborn
Sandro Schönborn is a senior reseracher at the University of Basel. His research focuses on probabilistic methods for fitting statistical shape models, in particular sampling methods.
Sandro Schönborn
Thomas Vetter
Thomas Vetter is the founder and head of the Graphics and Vision Research Group of the University of Basel. Thomas Vetter’s research at the University of Basel is directed at automated synthesis and analysis of images.
Thomas Vetter

Tentative Program

Online course (Feb 2017 - May 2017)

From To Subject
Mon 2/20     Sun 2/26    Basic concepts of shape modelling and the scalismo software.
Mon 2/27 Sun 3/5 Building shape models: fundamental concepts in theory and practice.
Mon 3/6 Sun 3/12Probabilistic aspects of shape models.
Mon 3/13 Sun 3/19Modelling with Gaussian Processes
Mon 3/20 Sun 3/26 Reconstructing missing parts
Mon 3/27 Sun 4/2Fitting models to data
Mon 4/3 Sun 4/9 Model-based image analysis
Mon 4/9 Sun 4/30 Course Project

Summerschool (June 6 - 10, 2017)

Day Time Subject
Tue 6/6MorningBasic notation of Pattern Theory. Analysis by Synthesis.
Tue 6/6AfternoonExcercises: Surface and image registration.
Wed 7/6MorningTheory of Markov chain Monte Carlo (MCMC)
Wed 7/6AfternoonExcercises: MCMC in Scalismo
Thu 8/6MorningBasic computer graphics
Thu 8/6AfternoonExercises: 3D-3D Model fitting in Scalismo
Fri 9/6Morning2D-3D face image analysis
Fri 9/6AfternoonExercises: 2D/3D Image analysis in Scalismo
Sat 10/6MorningAdvanced topics in Shape modelling and model fitting
Sat 10/6AfternoonProject presentations and social event


To register for the summer school, fill in the registration from below. Deadline for the registration is March, 27. 2017. For additional questions please send us an email to the address given below.

Notifications of acceptance will be provided after submission of the course project, which is part of the online course. The latest possible submission of the course project is April, 30. 2017.