Fakultät Informatik

Master-Seminar – 3D Vision


 Prof. Dr. Matthias Niessner,  Dr. Justus Thies


Master Informatics

Time, Place

Tuesdays, 10:30-12:00, Seminar room: MI   02.13.010


April 10th., 2018


In this course, students will autonomously investigate recent research about 3D Scanning & Motion Capturing. Independent investigation for further reading, critical analysis, and evaluation of the topic are required. Each participant has to give a talk about a paper of the top tier conferences in this field (SIGGRAPH, SIGGRAPH ASIA, CVPR, ICCV, ECCV, ...). In addition to the talk we ask for a summary of the paper (minimum 2 pages).

The talks have to cover the following topics:

- face tracking / reconstruction

- facial reenactment (audio driven, video driven animation)

- body tracking / reconstruction

- hand tracking

- static / dynamic scene reconstruction

- scene understanding

- inverse rendering, material estimation, light estimation


  • The participants have to present their results in a talk, which should last 30 minutes.
  • The semi-final slides (PDF) should be sent one week before the talk; otherwise, the talk will be canceled.
  • A short report (approximately 2-3 pages in  the ACM SIGGRAPH TOG format (acmtog)) should be prepared and sent within two weeks after the talk.
  • When you send the report, please send the final slides (PDF) together.


Bachelor and Master thesis in the following areas:
- A remote rendering system for point cloud data (in collaboration with industry)

- Deep learning for improved weather forecasting

- Learning trajectory clustering using neural network
- Learning Level-of-Detail representations for point clouds

- In collaboration with partners from industry, we have a number of thesis topics available in the area of point-based rendering, geo-localization using public data, scene fusion from different viewpoints. If you are interested, please contact  westermann(at)tum.de


- One PhD position on   Turbulence Visualization is available at the Computer Graphics & Visualization group.