Important Information at a Glance 

Lecture: Wednesday, 10:00-11:30 in Room 01-006 (see KIS) - First lecture on 25.10.2023

Exercise: Donnerstag, 15:30 - 17:00 in Room 11-243 (see KIS) - First exercise will be announced via OLAT

OLAT course: RPTU_3D Computer Vision_WiSe23/24 - Will be available by the first lecture



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 are not able to attend the first lecture (and therefore cannot receive the password), please contact marcel.rogge(at) 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
  • Selected Topics I
  • Selected Topics II



Homework assignments consisting of theoretical and practical tasks:

  • Release with deadlines via OLAT
  • Work in groups of up to 4 people
  • Submission is mandatory for earning eligibility to participate in the exam (details in OLAT)

Tutorial sessions following after the submission deadline of every assignment:

  • Presentation of solutions
  • Answering questions regarding the lecture/exercises



  • 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



Prof. Dr. Didier Stricker

Marcel Rogge (marcel.rogge(at)