Fachgebiet Augmented Vision


Update: 3D Computer Vision Exam will take place on July 13th from 8:30 AM to 11AM, in Bld 46, rooms 220, 210 and 110. Don't forget to register at the Examination office on time!

Due to the COVID-19 pandemic the exam is cancelled. We will find a new exam date. We don't know the exact date, yet. We will keep you updated here.


Exercise 6 is out. The deadline is on 02.02.2020.  Updated at 11:05 AM 23.01.2020.

!!!!!!!!!!! No Lecture on 15.01.2020

Exercise 5 is out. The deadline is on 19.01.2020.

Updated slides for Structured Light 1 are uploaded now.

Due to illness, discussion for Exercise 4 is postponed for next Monday, 13.01.2020.

Exercise 4 is out. Next exercise session will be held on  06.01.2020 at 17:00 in room PC-32/411

Exercise 3 is out. Next exercise session will be held on  02.12.2019 at 17:00 in room PC-32/411.

Exercise 2 is out. Next exercise session will be held on  18.11.2019 at 17:00 in room PC-32/411.

Exercise 1 is out. Next exercise session will be held on 04.11.2019  at 17:00 in room PC-32/411.

Room and Time 

Lecture: 48/210, Wednesday, 08:15-09:45, starting 30.10.2019
Exercise: PC-32/411 Monday, 17:00 - 19:00



Prof. Dr. Didier Stricker 

Tewodros Habtegebrial: tewodros_amberbir.habtegebrial(at)dfki.de
Torben Fetzer: torben.fetzer(at)dfki.de
Fangwen Shu: fangwen.shu(at)dfki.de


  • Introduction: what is a camera?
  • Camera model and camera calibration
  • Fitting and parameter estimation
  • Image point detection and point matching
  • 2D-image transformations (mapping) and panorama stitching
  • Two cameras: epipolar geometry and stereo reconstruction
  • Multiple view reconstruction
  • Structured light: laser, coded light
  • Depth Cameras
  • Structure from motion



  • 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



The slides are added here shortly before or after the corresponding lecture.


Home assignments and supervised sessions (implementation in Python).

For theoretical questions, the solutions should be submitted in PDF format following the LaTex Template provided here.The header of your email should be [3DCV-2019 Ex-exercise_number].

  • Exercise 1 Python Introduction and Latex template for exercise submission 
                                                          Upload: 30.10.2019 Deadline: None, Discussion: 04.11.2019: exercise_1
  • Exercise 2 Camera Calibration -   Upload: 06.11.2019 Deadline:17.11.2019 Discussion: 18.11.2019 exercise_2
  • Exercise 3 Homography          -   Upload: 20.11.2019 Deadline:01.12.2019 Discussion: 02.12.2019 exercise 3
  • Exercise 4 Structure Reconstruction  -   Upload: 11.12.2019 Deadline: 22.12.2019/ Late Submission 05.01.2020 Discussion: 06.01.2020(changed to 13.01.2020) exercise 4
  • Exercise 5 Dense 3D Reconstruction  -   Upload: 09.01.2020 Deadline: 19.01.2020 Discussion: 20.01.2020 exercise 5
  • Exercise 6 Multi-view Stereo  -   Upload: 23.01.2020 Deadline: 02.02.2020 Discussion: 03.02.2020 exercise 6
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