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Master-Praktikum - Perception and Learning for Robotics and Augmented Reality (IN2106, IN4209)

Course 0000003266 in SS 2020

General Data

Course Type practical training
Semester Weekly Hours 6 SWS
Organisational Unit Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab)
Lecturers Federico Tombari
Assistants:
Alexander Winkler
Dates Fri, 15:00–17:00, MI 03.13.010

Assignment to Modules

Further Information

Courses are together with exams the building blocks for modules. Please keep in mind that information on the contents, learning outcomes and, especially examination conditions are given on the module level only – see section "Assignment to Modules" above.

additional remarks 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 for recognizing objects in challenging environments, under pose variations, clutter and occlusion.
Links E-Learning course (e. g. Moodle)
TUMonline entry

Equivalent Courses (e. g. in other semesters)

SemesterTitleLecturersDates
SS 2018 Master-Praktikum - Perception and Learning for Robotics and Augmented Reality (IN2106, IN4209) Tombari, F.
Responsible/Coordination: Navab, N.
Assistants: Laina, I.
Tue, 14:00–16:00, MI 03.13.010
and singular or moved dates
SS 2017 Master-Praktikum - Perception and Learning for Robotics and Augmented Reality (IN2106, IN4209) Tombari, F.
Responsible/Coordination: Navab, N.
Assistants: Laina, I.
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