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0000001401 17W 6SWS PR Praktikum - Image Processing and Visualization using C++ (IN0012, IN2106, IN4186)   Hilfe Logo

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Praktikum - Image Processing and Visualization using C++ (IN0012, IN2106, IN4186) 
0000001401
practical training
6
Winter semester 2017/18
... alle LV-Personen
Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
(Contact information)
Details
Angaben zur Abhaltung
In this lab course on "Image Reconstruction and Visualization using C++" the focus is on learning and applying the programming language C++, its tools and libraries, to real world problems in tomographic imaging and visualization. Based on our existing C++ frameworks, you will work on exciting problems using real experimental data, in close contact with actual research projects.

This course will be held in two parts. The first part will be spent on learning the programming language C++, its tools and libraries, along with numerous practical exercises and homework each week. The second part will be spent on project work in teams of two. Here you will apply the techniques from the first part towards real world imaging problems, with project topics ranging from X-ray dark-field tomographic imaging and lightfield tomographic imaging to real-time 3D visualization, applied on real experimental data. In a final session, each project team will give a live demo of their project implementation, with a final competition on the best outcome.
This lab course is open to all students of Informatics, Mathematics and Physics.

Prerequisites:
* some programming experience in any programming language
* ability and motivation to work on your own and in a team
English
workshop
Part 1: homeworks, Part 2: project work in teams of two.
Details
Für die Anmeldung zur Teilnahme müssen Sie sich in TUMonline als Studierende*r identifizieren.
Note: A preliminary meeting is taking place on Tuesday, July 11, 2017, at 17:00 in room MI 03.13.010.

Registration via the matching system http://matching.in.tum.de. You can also contact the course organizer Tobias Lasser directly by email lasser@in.tum.de.
Zusatzinformationen
Online information
course documents