Important Information at a Glance
Lecture: Wednesday, 10:15-11:45 in Room 01-006 (see KIS) - First lecture on 22.10.2025
Exercise: Thursday, 15:45 - 17:15 in Room 11-243 (see KIS) - First session on 23.10.2025
OLAT course: RPTU_3D Computer Vision_WiSe25/26 - Will be available by the first lecture
This course used to give 4 CP and is being changed to give 6 CP in the future!
OLAT
OLAT is an online learning platform that is used by many courses at the RPTU. We are organizing this course mainly through OLAT. This means we will be publishing all materials accompanying the lecture and exercises there. We will also update you about any news through OLAT.
If you were not able to attend the first lecture (and therefore did not receive the password), please contact marcel.rogge(at)dfki.de to gain access.
Lecture Topics
- Introduction & The Camera
- Camera Model and Camera Calibration
- 2D Projective Transformations (Homographies)
- Parameter Estimation
- Epipolar Geometry
- Structure from motion I
- Structure from motion II
- Dense 3D Reconstruction
- Structured Light
- Point Cloud Registration
- Depth Cameras
- Photometric Stereo
- Gaussian Splatting
- Plane-based Camera Calibration
Exercises
Weekly Q&A sessions regarding lecture and exercise.
Homework assignment in groups with final presentation:
- Assignment released with deadline via OLAT
- Final presentation of results
- Submission and presentation are mandatory for earning eligibility to participate in the exam (details in OLAT)
Bibliography
- David A. Forsyth and Jean Ponce, Computer Vision: A Modern Approach
- Olivier Faugeras, Three-dimensional Computer Vision
- Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision
Contacts
Prof. Dr. Didier Stricker
Marcel Rogge (marcel.rogge(at)dfki.de)