183.129 3D Vision
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2023S, VO, 2.0h, 3.0EC, to be held in blocked form
TUWELLectureTubeQuinn ECTS survey


  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VO Lecture
  • LectureTube course
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to collect, develop, evaluate and interpret information relevant to 3D computer vision. Students are able to determine requirements and boundary conditions in different areas of 3D computer vision and can apply their acquired knowledge practically in complex 3D computer vision tasks and can work out and develop solutions and arguments for these. Furthermore, students can name, explain and compare the most important theories, principles, concepts and algorithms of 3D computer vision. Their knowledge and understanding corresponds to the state of the art in the field of computer vision.

Subject of course

  • How to Acquire and Reconstruct 3D objects                       
  • Focus on 3D acquisition
  • All 3D Acquisition concepts
  • LU is giving the opportunity for hands on experience by acquiring and reconstructing real 3D objects                       
  • Geomagic is used as reconstruction software            

Please note that the first lecture is on Monday, March 13 at 14:00!


Teaching methods

With the help of digital presentations the subjects of the course are presented and explained.

Mode of examination


Additional information

ECTS Breakdown: 3 ECTS = 75h

30h     Lecture
43.5h  Exam Preparation
1.5h    Exam



Course dates

Mon14:00 - 18:0006.03.2023 - 24.04.2023FAV Hörsaal 1 - INF 3D Vision VO
Wed15:00 - 17:0008.03.2023 - 26.04.2023FAV Hörsaal 1 - INF 3D Vision VO
Wed15:00 - 17:0003.05.2023FAV Hörsaal 1 - INF 3D VO
3D Vision - Single appointments
Mon06.03.202314:00 - 18:00FAV Hörsaal 1 - INF 3D Vision VO
Wed08.03.202315:00 - 17:00FAV Hörsaal 1 - INF 3D Vision VO
Mon13.03.202314:00 - 18:00FAV Hörsaal 1 - INF 3D Vision VO
Wed15.03.202315:00 - 17:00FAV Hörsaal 1 - INF 3D Vision VO
Mon20.03.202314:00 - 18:00FAV Hörsaal 1 - INF 3D Vision VO
Wed22.03.202315:00 - 17:00FAV Hörsaal 1 - INF 3D Vision VO
Mon27.03.202314:00 - 18:00FAV Hörsaal 1 - INF 3D Vision VO
Wed29.03.202315:00 - 17:00FAV Hörsaal 1 - INF 3D Vision VO
Mon17.04.202314:00 - 18:00FAV Hörsaal 1 - INF 3D Vision VO
Wed19.04.202315:00 - 17:00FAV Hörsaal 1 - INF 3D Vision VO
Mon24.04.202314:00 - 18:00FAV Hörsaal 1 - INF 3D Vision VO
Wed26.04.202315:00 - 17:00FAV Hörsaal 1 - INF 3D Vision VO
Wed03.05.202315:00 - 17:00FAV Hörsaal 1 - INF 3D VO
Course is held blocked

Examination modalities

1.5- hour written exam which is typically offered 3 times per term.  Attention: If a written exam is not possible due to COVID19, an oral exam will be offered instead.


DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Wed17:00 - 19:0018.10.2023FAV Hörsaal 1 - INF written30.09.2023 09:00 - 16.10.2023 09:00TISS3D Vision Examination (Sammelprüfungstermin)
Wed17:00 - 19:0013.12.2023FAV Hörsaal 1 - INF written30.11.2023 09:00 - 11.12.2023 09:00TISS3D Vision Examination (Sammelprüfungstermin)
Wed17:00 - 19:0024.01.2024FAV Hörsaal 1 - INF written08.01.2024 09:00 - 22.01.2024 09:00TISS3D Vision Examination (Sammelprüfungstermin)
Wed17:00 - 19:0006.03.2024FAV Hörsaal 1 - INF written13.02.2024 09:00 - 04.03.2024 09:00TISS3D Vision Examination
Wed17:00 - 19:0015.05.2024FAV Hörsaal 1 - INF written24.04.2024 09:00 - 13.05.2024 09:00TISS3D Vision Examination
Wed17:00 - 19:0012.06.2024FAV Hörsaal 1 - INF written06.05.2024 09:00 - 10.06.2024 09:00TISS3D Vision Examination

Course registration

Begin End Deregistration end
06.03.2023 00:00 05.04.2023 00:00 05.04.2023 00:00

Registration modalities




Lecture notes for this course are available.

Previous knowledge

This lecture describes 3D acquisition systems where basic mathematical knowledge is a prerequisite

Preceding courses

Accompanying courses

Continuative courses