Praktikum on 3D Computer Vision
This course focuses on different recent topics in 3D computer vision and their application. A first set of (invited) lectures on specific vision problems (such as 3D shapes, point cloud processing, 6D Pose Estimation, Neural Rendering, 3D humans / matching, SLAM) lays the foundation for practical projects carried out by the student. The projects are motivated from real problems and recent research directions from industrial and academic partners. These are addressed by a group of students with support of coaches from both industry and academia. The proposed solutions to the 3D vision topics are finally presented with at an internal workshop. After the course, the student is familiar with selected topics and recent advances in 3D computer vision for which a practical project has been carried out and experience in problem solving in constant exchange with group members and vision experts has been learnt.
The pre-course meeting took place on July 3rd 2023 at 14:30 am via Zoom.
You can find the slides here
Send motivation letter, CV & transcript to: firstname.lastname@example.org until 19.07.2023.
Register in the TUM IN matching system until 19.07.2023.
Praktikum on 3D Computer Vision (IN2106, IN4313)
|Language of instruction||English|
|Position within curricula||See TUMonline|
- 03.07.2023 14:30-15:00 Online: Videokonferenz / Zoom etc., Pre-Course Meeting
- 27.10.2023 14:00-16:00 03.13.010, Seminarraum, Introductory talk & Project presentations
- 10.11.2023 14:00-16:00 03.13.010, Seminarraum, Project KickOffs
- 24.11.2023 14:00-16:00 03.13.010, Seminarraum, Lecture I & Project Updates
- 01.12.2023 14:00-16:00 03.13.010, Seminarraum, Lecture II & Lecture III
- 08.12.2023 14:00-16:00 03.13.010, Seminarraum, Lecture IV & Project Updates
- 15.12.2023 14:00-16:00 03.13.010, Seminarraum, Mid-term Presentations
- 12.01.2024 14:00-16:00 03.13.010, Seminarraum, Project Updates
- 26.01.2024 14:00-16:00 03.13.010, Seminarraum, Project Updates
- 09.02.2024 14:00-18:00 03.13.010, Seminarraum, Final Workshop
Note: For registration you have to be identified in TUMonline as a student. Please apply for this lab course by following the instructions on the course website. We will select appropriate candidates based on their background, interests, and motivation. For application, please use the provided form, include an up to date score sheet and a paragraph explaining your motivation for applying to this course (300 words max). Students from the informatics faculty also have to register through the common IN.TUM-Matching-System.