Lab Course / Praktikum: Praktikum on 3D Computer Vision

by PD Dr.-Ing. Federico Tombari
Team: Benjamin Busam, Nikolas Brasch, Mahdi Saleh, Yida Wang, Shun-Cheng Wu, HyunJun Jung, Evin Pinar Örnek
Type: Master Practical Course Module IN2106
SWS: 6
Programs: Informatics (Master), Biomedical Computing (Master)
ECTS: 10 Credits

Preliminary Meeting ("Vorbesprechung"): Friday, 09.07.2021 at 03:00 PM. slides video
Further Meetings: See the schedule below. According to the pandemic situation, we will partly or fully have our meetings / lectures via zoom.

This course in TUMOnline
The course will be conducted in English.

Content

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.

Announcements

• Preliminary Meeting: Friday, 09.07.2021 at 03:00 PM Zoom Meeting

Registration

- Send motivation letter & transcript (not mandatory, but highly recommended) to: p3dcv[at]mailnavab.informatik.tu-muenchen.de (until 20.07.)
- Register in TUM Matching-System: https://matching.in.tum.de (until 20.07.)

General Content

TBA

Prerequisites

• Basic knowledge with C++ and Python programming
• Experience with basic computer vision and machine learning concepts
• Enthusiasm to tackle challenging problems
• Passion to create something new with a team

Schedule

The schedule is preliminary and still subject to change. Please check the course website regularly!

Date	Time	Location	Topic	Conducted by	Materials
09.07.2021	15.00 - 15:30	Zoom	Preliminary Meeting slides video	Federico Tombari Benjamin Busam Nikolas Brasch
22.10.2021	14.00 - 15:30	01.07.014	Indroduction and Project Presentation
29.10.2021	14.00 - 15:30	01.07.014	Lecture / Seminar 1
05.11.2021	14.00 - 15:30	01.07.014	Lecture / Seminar 2
19.11.2021	14.00 - 15:30	01.07.014	Project Kick-Off
26.11.2021	14.00 - 15:30	01.07.014	Lecture / Seminar 3
03.12.2021	14.00 - 15:30	01.07.014	Lecture / Seminar 4
10.12.2021	14.00 - 15:30	01.07.014	Mid-Term Presentation
14.01.2022	14.00 - 15:30	01.07.014	Lecture / Seminar 5
21.01.2022	14.00 - 15:30	01.07.014	Tutor Meeting
28.01.2022	14.00 - 15:30	01.07.014	Tutor Meeting
04.02.2022	Evening	TranslaTUM	Final Workshop
11.02.2022	14.00 - 15:30	01.07.014	Backup Class

Project Proposals

Project ID	Title	Supervisor	Students	Materials

Coding

• Online C++ API reference
• Python 3.6 documentation
• OpenCV Documentation
• PyTorch documentation
• CMake
• MS Visual Studio (TUM StudiSoft)

Versioning

• Github, a freeware Github client for Mac/Windows
• Github tutorial for beginners
• With TUM account: LRZ Gitlab