Probabilistic Morphable Models are a fully probabilistic approach to model-based image analysis, based on:
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.
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.
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 (Lecture hall 00.003, Spiegelgasse 1.)
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).
The summerschool is free of charge, but all participants need to organize their stay (travel, accomodation, food) by themselves.
Our main recommondation is the Apaliving Basel Budget Hotel. The price per night for a single room approximately Fr. 90. In the same neighborhood you can also find the following, slighly cheaper options:
|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 3/12||Probabilistic aspects of shape models.|
|Mon 3/13||Sun 3/19||Modelling with Gaussian Processes|
|Mon 3/20||Sun 3/26||Reconstructing missing parts|
|Mon 3/27||Sun 4/2||Fitting models to data|
|Mon 4/3||Sun 4/9||Model-based image analysis|
|Mon 4/9||Sun 4/30||Course Project|
|Tue 6/6||Morning||Lecture: Analysis by Synthesis. Basics of computer graphics.|
|Tue 6/6||Afternoon||Exercise: Working with Scalismo-faces. Morphable Models and rendering|
|Lecture: Bayesian modelling|
|Wed 7/6||Morning||Lecture: Probabilistic Model Fitting using MCMC|
|Wed 7/6||Afternoon||Exercise: Introduction to course project, Landmark fitting using MCMC|
|Thu 8/6||Morning||Lecture: 2D Face image analysis|
|Thu 8/6||Afternoon||Lecture: Debugging MCMC|
|Exercise: Course project|
|Fri 9/6||Morning||Lecture: Gaussian processes|
|Lecture: Non-rigid registration|
|Fri 9/6||Afternoon||Exercise: Course Project|
|Sat 10/6||Morning||Project presentations|
|Sat 10/6||Afternoon||Social event|
In the course project, the participants will implement their own pipeline for recovering the 3D shape of a face from a 2D picture.
Classes start at 9.00 and take place in the lecture hall 00.003 (Department of Mathematics and Computer Science, Spiegelgasse 1.)
To register for the summer school, fill in the registration from below. Deadline for the registration is March, 20. 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.