Praktikum/Lab Course - Perception and Learning in Robotics and Augmented Reality

This praktikum introduces common tools and principles in computer vision and machine learning for object recognition and pose estimation, for applications in the field of Augmented Reality and Robotics. Starting from the basics, students are gradually taught to develop a framework that can process images and 3D data with the goal of perceiving shapes and recognizing objects in real environments, under pose variations, clutter and occlusion.

Lecturers: Dr. Federico Tombari, Prof. Nassir Navab
Tutors: Iro Laina, Helisa Dhamo, Fabian Manhardt, Huseyin Coskun, Yida Wang
Type: Master Practical Course Module IN2106
Course Title: Perception and Learning in Robotics and Augmented Reality - Link to TUMOnline

Programs lab course: Biomedical Computing (Master), Informatics (Master), Informatics (Diploma)
Programs elective course: Electrical Engineering, Mechanical Engineering, School of Management
SWS: 6
ECTS: 10 Credits

Meetings:
Preliminary Meeting: Jan. 30th, 14:00, Location: 03.13.010

The course will be conducted in English.

Google Group for Q&A: plarr-2018 |[@]| googlegroups.com

Important News

• 16/04/2018: The project proposals have been announced. The deadline for submitting your preferences is 23/04/2018.
• The schedule for the upcoming semester has been announced. In the first lecture, we will additionally hold an (optional) introduction to Git, GitLab and CMake for those who are not familiar with these tools that will be required during the Praktikum.
• If interested in registering for the Praktikum, you can send us your motivation letter (plus relevant courses that you have taken) at plarr-2018|[at]|googlegroups.com. However, please note that the official application has to be done via the TUM Matching System.
  

Schedule

Projects

A list of all projects can be downloaded here.