186.822 Introduction to Visual Computing
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2024S, VU, 5.0h, 6.0EC
TUWELLectureTube

Properties

  • Semester hours: 5.0
  • Credits: 6.0
  • Type: VU Lecture and Exercise
  • LectureTube course
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to describe basic concepts of computer graphics and computer vision from both a theoretical and a practical point of view. Students are able to understand the entire process chain up to the image generation.

Subject of course

This lecture is given in German.

* Digital images: Resolution, Sampling, Quantization, Representation of colors
* Image operatons: Point operations, local and global operations
* Segmentation
* Detection of motion
* Representation: contour-based, reggion-based (Moments, Graphs)
* Encoding: Entropy-Encoding, Source-Encoding
* Compression: Predictive encoding, Vector quantization, JPEG, MPEG
* Hardware: Input and output devices, Medical imaging, Sensors
* Radiometric and geometric transformations
* Graphic primitives and their attributes
* 2D and 3D Viewing, Rendering Pipeline
* Visibility
* 3D object representations
* Curves and Surfaces
* Lighting and Shading
* Ray-Tracing und Global Illumination
* Textures and other mappings
* Colors and Color spaces
* Computational photography
* Non-photorealistic rendering

Teaching methods

Presentations of theoretical concepts using slides, programming tasks.

Mode of examination

Immanent

Additional information

ECTS-breakdown (estimation, advise):
40 h Lectures
42 h Preparation for exams
68 h Assignments
---------------------------------------------
150 h equals 6 ECTS, each of 25 hours

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue14:00 - 16:0005.03.2024 - 25.06.2024GM 1 Audi. Max.- ARCH-INF Lecture
Thu09:00 - 11:0007.03.2024 - 20.06.2024GM 1 Audi. Max.- ARCH-INF Lecture
Mon10:00 - 12:0011.03.2024 - 17.06.2024GM 1 Audi. Max.- ARCH-INF Lecture
Thu09:00 - 11:0027.06.2024GM 1 Audi. Max.- ARCH-INF Vorlesung
Introduction to Visual Computing - Single appointments
DayDateTimeLocationDescription
Tue05.03.202414:00 - 16:00GM 1 Audi. Max.- ARCH-INF Lecture
Thu07.03.202409:00 - 11:00GM 1 Audi. Max.- ARCH-INF Lecture
Mon11.03.202410:00 - 12:00GM 1 Audi. Max.- ARCH-INF Lecture
Tue12.03.202414:00 - 16:00GM 1 Audi. Max.- ARCH-INF Lecture
Thu14.03.202409:00 - 11:00GM 1 Audi. Max.- ARCH-INF Lecture
Mon18.03.202410:00 - 12:00GM 1 Audi. Max.- ARCH-INF Lecture
Tue19.03.202414:00 - 16:00GM 1 Audi. Max.- ARCH-INF Lecture
Thu21.03.202409:00 - 11:00GM 1 Audi. Max.- ARCH-INF Lecture
Mon08.04.202410:00 - 12:00GM 1 Audi. Max.- ARCH-INF Lecture
Tue09.04.202414:00 - 16:00GM 1 Audi. Max.- ARCH-INF Lecture
Thu11.04.202409:00 - 11:00GM 1 Audi. Max.- ARCH-INF Lecture
Mon15.04.202410:00 - 12:00GM 1 Audi. Max.- ARCH-INF Lecture
Tue16.04.202414:00 - 16:00GM 1 Audi. Max.- ARCH-INF Lecture
Thu18.04.202409:00 - 11:00GM 1 Audi. Max.- ARCH-INF Lecture
Mon22.04.202410:00 - 12:00GM 1 Audi. Max.- ARCH-INF Lecture
Tue23.04.202414:00 - 16:00GM 1 Audi. Max.- ARCH-INF Lecture
Thu25.04.202409:00 - 11:00GM 1 Audi. Max.- ARCH-INF Lecture
Mon29.04.202410:00 - 12:00GM 1 Audi. Max.- ARCH-INF Lecture
Tue30.04.202414:00 - 16:00GM 1 Audi. Max.- ARCH-INF Lecture
Thu02.05.202409:00 - 11:00GM 1 Audi. Max.- ARCH-INF Lecture

Examination modalities

Submission of 6 assignments

Accomplishment of 2 written exams

Exams

DayTimeDateRoomMode of examinationApplication timeApplication modeExam
Fri17:00 - 19:0021.06.2024EI 9 Hlawka HS - ETIT writtenno application-2. Test - 2024SS
Fri17:00 - 19:0021.06.2024HS 17 Friedrich Hartmann - ARCH writtenno application-2. Test - 2024SS
Fri17:00 - 19:0021.06.2024EI 7 Hörsaal - ETIT writtenno application-2. Test - 2024SS
Fri17:00 - 19:0021.06.2024GM 1 Audi. Max.- ARCH-INF writtenno application-2. Test - 2024SS
Fri17:00 - 19:0021.06.2024FH Hörsaal 1 - MWB writtenno application-2. Test - 2024SS
Fri17:00 - 19:0021.06.2024Informatikhörsaal - ARCH-INF writtenno application-2. Test - 2024SS
Tue18:00 - 20:0024.09.2024FH Hörsaal 1 - MWB writtenno application-Nachtragstest - 2024SS
Tue18:00 - 20:0024.09.2024EI 7 Hörsaal - ETIT writtenno application-Nachtragstest - 2024SS
Tue18:00 - 20:0024.09.2024GM 1 Audi. Max.- ARCH-INF writtenno application-Nachtragstest - 2024SS
Wed18:00 - 20:0030.04.2025GM 1 Audi. Max.- ARCH-INF writtenno application-1. Test - 2025SS
Wed18:00 - 20:0030.04.2025GM 2 Radinger Hörsaal - TCH writtenno application-1. Test - 2025SS
Wed18:00 - 20:0030.04.2025HS 17 Friedrich Hartmann - ARCH writtenno application-1. Test - 2025SS
Wed18:00 - 20:0030.04.2025Informatikhörsaal - ARCH-INF writtenno application-1. Test - 2025SS
Wed18:00 - 20:0030.04.2025FH Hörsaal 1 - MWB writtenno application-1. Test - 2025SS
Wed18:00 - 20:0030.04.2025EI 7 Hörsaal - ETIT writtenno application-1. Test - 2025SS
Thu18:00 - 20:0012.06.2025Informatikhörsaal - ARCH-INF writtenno application-2. Test - 2025SS
Thu18:00 - 20:0012.06.2025FH Hörsaal 1 - MWB writtenno application-2. Test - 2025SS
Thu18:00 - 20:0012.06.2025GM 2 Radinger Hörsaal - TCH writtenno application-2. Test - 2025SS
Thu18:00 - 20:0012.06.2025GM 5 Praktikum HS- TCH writtenno application-2. Test - 2025SS
Thu18:00 - 20:0012.06.2025GM 1 Audi. Max.- ARCH-INF writtenno application-2. Test - 2025SS
Thu18:00 - 20:0012.06.2025EI 7 Hörsaal - ETIT writtenno application-2. Test - 2025SS
Tue - 23.09.2025writtenno application-Nachtragstest - 2024SS

Course registration

Begin End Deregistration end
14.02.2024 00:00 11.03.2024 23:59 11.03.2024 23:59

Curricula

Study CodeObligationSemesterPrecon.Info
033 521 Informatics Mandatory2. Semester
033 526 Business Informatics Mandatory elective
033 532 Media Informatics and Visual Computing Mandatory2. Semester
033 533 Medical Informatics Mandatory2. Semester
033 534 Software & Information Engineering Mandatory2. Semester
860 GW Optional Courses - Technical Mathematics Not specified

Literature

Es gibt ein deutschsprachiges Skriptum, das kapitelweise jeweils zu den Vorlesungseinheiten online gestellt wird, welches über TUWEL zur Verfügung gestellt wird.

Für Abschnitte der Computer Vision Vorlesung wird "Computer Vision: Algorithms and Applications" von R. Szeliski empfohlen (frei verfügbar, siehe Links).

Previous knowledge

Grundlegende Programmierkenntnisse.

Pythonkenntnisse vorteilhaft, aber nicht notwendig.

Continuative courses

Miscellaneous

Language

German