TeachingWs21P3DV

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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 lectures on specific vision problems (such as 6D Pose Estimation, Structure from Motion, Reinforcement Learning) 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 for 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 learnt in constant exchange with group members and vision experts.

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

Versioning


TeachingForm
Title: Praktikum on 3D Computer Vision
Professor: Benjamin Busam, Nikolas Brasch,PD Dr. Federico Tombari
Tutors: Mahdi Saleh, Yida Wang, Shun-Cheng Wu, HyunJun Jung, Evin Pinar Örnek,
Type: Praktikum
Information: 6 SWS, 10 ECTS Credits (Module IN2106)
Term: 2021WiSe
Abstract:  


Edit | Attach | Refresh | Diffs | More | Revision r1.9 - 21 Sep 2021 - 13:44 - FedericoTombari

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