Important Information at a Glance 

Lecture: Wednesday, 10:15-11:45 in Room 01-006 (see KIS) - First lecture on 21.10.2026

Exercise: Thursday, 15:45 - 17:15 in Room 11-243 (see KIS) - First session on 22.10.2026

OLAT course: RPTU_3D Computer Vision_WiSe26/27 - Not available before the first lecture! During the lecture, an access code will be announced!

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.
The information in 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

(The lectures are currently being revised and still subject to change)

• Introduction & The Camera
• Camera Model and Camera Calibration
• Homography
• Epipolar Geometry
• Parameter Estimation
• Structure from motion I
• Structure from motion II
• Dense 3D Reconstruction
• Structured Light
• Point Cloud Registration
• Feed Forward 3D Reconstruction
• 3D Gaussian Splatting
• Dynamic Scenes

Exercises

Weekly Q&A sessions regarding lecture and exercise.
Homework assignments in groups managed via OLAT.

Exam Eligibility

It is necessary to obtain eligibility in order to attend the exam. Once obtained, it persists into future semesters.
Eligibility is acquired for the first time by the following:

• Passing quizzes (after each lecture)
• Passing exercises (homework assignments)

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)
Abdallah Arafa (abdalla.arafa(at)dfki.de)