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 = 75h10h Lecture2h Matlab Tutorial20h Development of Matlab code for solving the practical assignments (with tutor support)10h Preparation of report of the practical assigments0.5h Exercise interview32.5h Exam Preparation-----75h
Exercise part (50 %) and oral exam (50%)