703090 PS Visual Computing

winter semester 2023/2024 | Last update: 06.12.2024 | Place course on memo list

Department:

Instructor:

Nikolaus Rauch, BSc MSc
assoz. Prof. Antonio José Rodriguez-Sanchez, MSc PhD, +43 512 507 53270
Stefan Spiß, BSc MSc, +43 512 507 53458

Course number:

703090

Title:

PS Visual Computing

Type/hours:

PS 2

ECTS credits:

Period:

weekly

Mode of repetition:

annually

Language of instruction:

English

Learning Outcome:

Discussion, consolidation and practical implementation of the contents of the lecture by means of written assignments and programming exercises. Solving applied problems of image analysis and image processing with OpenCV, as well as implementing basic visualization methods in OpenGL.

Contents:

In the first part, applied tasks for image creation and analysis are solved using OpenCV. The goal of the second part is to create a simple 3D scene using OpenGL. The program will be developed step by step during the proseminar. This includes transformations, lighting, as well as texturing. At the end of the semester one of the two parts will be deepened in an individual project.

Methods:

Continuous assessment based on regular written and/or oral contribution by participants, as well as program development.

Assessment:

Course examination according to § 6, statute section on "study-law regulations".

Literature:

Details will be announced in the proseminar.

Examples:
1) D. Shreiner, G. Sellers, J. Kessenich, B. Licea-Kane, “OpenGL Programming Guide: The Official Guide to Learning OpenGL, Version 4.3” Addison-Wesley, 8th edition, 978-0321773036, 2013.
2) J. de Vries, "Learn OpenGL: Learn modern OpenGL graphics programming in a step-by-step fashion", Kendall & Welling, 978-9090332567, 2020.
3) E. Lengyel, "Foundations of Game Engine Development, Volume 1: Mathematics", Terathon Software LLC, 1st edition, ‎978-0985811747, 2016.
4) Computer Vision: A modern approach. David Forsyth and Jean Ponce. Prentice Hall, 2003 (1st ed.), 2011 (2nd ed.). ISBN: 0-13-085198-1.
5) Computer Vision: Algorithms and applications. Richard Szeliski. Springer, 2010. ISBN: 978-1-84882-934-3.
6) Computer Vision. Models, learning and inference. Simon JD Prince. Cambridge, 2012. ISBN:978-1-107-01179-3.

Prerequisites:

Programming will be carried out using C/C++

Remarks:

The lecture is conceived as VO+PS. It is expected that students participate in both parts.

OLAT:

https://lms.uibk.ac.at/url/RepositoryEntry/5512593960

Start:

see dates

Course allocation

Faculty of Mathematics, Computer Science and Physics

Bachelor's Programme Computer Science according to the Curriculum 2019 (180 ECTS-Credits, 6 semesters)

Elective Modules (15 ECTS-Credits)

Elective Module 4: Visual Computing (7,5 ECTS-Credits, 5 h)

Faculty of Teacher Education

Master's Programme Secondary School Teacher Training (General Education) according to the curriculum 2018 (120 ECTS-Credits, 4 semesters)

Subject Computer Science

Compulsory Modules (25 ECTS-Credits)

Compulsory Module 1: Advanced Computer Science (7,5 ECTS-Credits)

Sustainable development goals

SDG 4 - Quality education: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.
SDG 9 - Industry, Innovation, and Infrastructure: Build resilient infrastructure, promote inclusive and sustainable industrialization, and foster innovation.

Dates

Group 1	Export course dates of this group as iCalendar (.ics) Help
Rodriguez-Sanchez A.
Date	Time	Location
Tue 2023-10-03	10.15 - 11.45	rr 26 rr 26
Tue 2023-10-10	10.15 - 11.45	rr 26 rr 26
Tue 2023-10-17	10.15 - 11.45	rr 26 rr 26
Tue 2023-10-24	10.15 - 11.45	rr 26 rr 26
Tue 2023-10-31	10.15 - 11.45	rr 26 rr 26
Tue 2023-11-07	10.15 - 11.45	rr 26 rr 26
Tue 2023-11-14	10.15 - 11.45	rr 26 rr 26
Tue 2023-11-21	10.15 - 11.45	rr 26 rr 26
Tue 2023-11-28	10.15 - 11.45	rr 26 rr 26
Tue 2023-12-05	10.15 - 11.45	rr 26 rr 26
Tue 2023-12-12	10.15 - 11.45	rr 26 rr 26
Tue 2024-01-09	10.15 - 11.45	rr 26 rr 26
Tue 2024-01-16	10.15 - 11.45	rr 26 rr 26
Tue 2024-01-23	10.15 - 11.45	rr 26 rr 26
Tue 2024-01-30	10.15 - 11.45	rr 26 rr 26
Group 2	Export course dates of this group as iCalendar (.ics) Help
Spiß S.
Date	Time	Location
Tue 2023-10-03	12.15 - 13.45	rr 26 rr 26
Tue 2023-10-10	12.15 - 13.45	rr 26 rr 26
Tue 2023-10-17	12.15 - 13.45	rr 26 rr 26
Tue 2023-10-24	12.15 - 13.45	rr 26 rr 26
Tue 2023-10-31	12.15 - 13.45	rr 26 rr 26
Tue 2023-11-07	12.15 - 13.45	rr 26 rr 26
Tue 2023-11-14	12.15 - 13.45	rr 26 rr 26
Tue 2023-11-21	12.15 - 13.45	rr 26 rr 26
Tue 2023-11-28	12.15 - 13.45	rr 26 rr 26
Tue 2023-12-05	12.15 - 13.45	rr 26 rr 26
Tue 2023-12-12	12.15 - 13.45	rr 26 rr 26
Tue 2024-01-09	12.15 - 13.45	rr 26 rr 26
Tue 2024-01-16	12.15 - 13.45	rr 26 rr 26
Tue 2024-01-23	12.15 - 13.45	rr 26 rr 26
Tue 2024-01-30	12.15 - 13.45	rr 26 rr 26
Group 3	Export course dates of this group as iCalendar (.ics) Help
Rauch N.
Date	Time	Location
Tue 2023-10-03	14.15 - 15.45	rr 26 rr 26
Tue 2023-10-10	14.15 - 15.45	rr 26 rr 26
Tue 2023-10-17	14.15 - 15.45	rr 26 rr 26
Tue 2023-10-24	14.15 - 15.45	rr 26 rr 26
Tue 2023-10-31	14.15 - 15.45	rr 26 rr 26
Tue 2023-11-07	14.15 - 15.45	rr 26 rr 26
Tue 2023-11-14	14.15 - 15.45	rr 26 rr 26
Tue 2023-11-21	14.15 - 15.45	rr 26 rr 26
Tue 2023-11-28	14.15 - 15.45	rr 26 rr 26
Tue 2023-12-05	14.15 - 15.45	rr 26 rr 26
Tue 2023-12-12	14.15 - 15.45	rr 26 rr 26
Tue 2024-01-09	14.15 - 15.45	rr 26 rr 26
Tue 2024-01-16	14.15 - 15.45	rr 26 rr 26
Tue 2024-01-23	14.15 - 15.45	rr 26 rr 26
Tue 2024-01-30	14.15 - 15.45	rr 26 rr 26