The goal of this lecture/exercise is to get a fundamental understanding of registration techniques used in computer vision, medical imaging, biological imaging and brain mapping. Registration is necessary in order to be able to compare or integrate data obtained from different measurements coming from multiple photographs, data from different sensors, times, depths, or viewpoints.

2D image registration techniques, 2D Feature Detection, 2D Representation (SIFT, etc.), 2D Transformations, 3D data registration techniques

ECTS Breakdown: 3 ECTS = 75h

10h    Lecture
2h      Matlab Tutorial
20h    Development of Matlab code for solving the practical assignments (with tutor support)
10h    Preparation of report of the practical assigments
0.5h   Exercise interview
32.5h Exam Preparation

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75h

Exercise part (50 %) and oral exam (50%)