Master-Praktikum - Advanced Topics in 3D Computer Vision (IN2106, IN4023)
Course 0000002656 in SS 2023
General Data
| Course Type | practical training |
|---|---|
| Semester Weekly Hours | 6 SWS |
| Organisational Unit | Informatics 16 - Chair of Computer Aided Medical Procedures (Prof. Navab) |
| Lecturers |
Lennart Bastian Nikolas Brasch Benjamin Busam Hyunjun Jung Mert Asim Karaoglu Mahdi Saleh Hannah Schieber Pengyuan Wang Shun-Cheng Wu Guangyao Zhai Responsible/Coordination: Nassir Navab |
| Dates |
Tue, 14:00–16:00, MI 03.13.010 and 2 singular or moved dates |
Assignment to Modules
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IN2106: Master-Praktikum / Advanced Practical Course
This module is included in the following catalogs:- Further Modules from Other Disciplines
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 course focuses on different recent topics in 3D computer vision and its application. The first set of lectures on specific vision problems (such as 6D Pose Estimation, Structure from Motion, Depth Estimation, Reconstruction) lays the foundation for practical challenges carried out by the student individually. While working on these problems the student becomes familiar with these topics and decides on a direction for the group phase. In the group phase, a group of students is supported by coaches from both industry and academia. The group identifies a particular 3D vision problem in one of these areas and develops a prototype to solve it. The prototype solution is finally presented with a live demonstration. After the course, the student is familiar with some advanced topics in 3D computer vision for which a practical implementation has been carried out and experience in problem-solving for a specific 3D vision problem has been learned in constant exchange with group members and vision experts. |
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| Links |
Course documents E-Learning course (e. g. Moodle) Additional information TUMonline entry |