392153 Visual Computing (V) (SoSe 2024)

Contents, comment

This course unites topics in computer graphics, computer vision and human perception, explaining their relations at hand of practical and state-of-the-art examples.

The lectures introduce computer graphics from a human-centric point of view. Human perception motivates the design of extended reality devices and efficient computer graphics algorithms. How can we simulate how light propagates in real time by exploiting the limitations of the human visual system? In turn, the computer graphics models are used for 3D computer vision by inverse graphics, the analysis by synthesis principle. How can we invert the image, which measures light intensity?

The basic building blocks for visual computing applications that are taught are: rendering techniques for computer graphics (ray-tracing, splatting, rasterization), representations for objects (sum of Gaussians), and 3D geometry (perspective projection, optimization). Practical experiences are gained in the assignments and tutorials.

The following slides provide additional details and context to the existing visual computing modules at Bielefeld University:
https://docs.google.com/presentation/d/e/2PACX-1vRGyE0j_cU324qp-vOEE4hEBPn3HdwliZQqeg_vT0w7Yt9EUXmgFB6NamL_ynqeBMYRgD-cdvfvXobA/pub?start=false&loop=false&delayms=3000

Requirements for participation, required level

The course builds upon the programming skills, mathematical models, and concepts learned in the introductory Programming and Math courses.
Required are basic programming skills (in python) and basic mathematics (in particular linear algebra, some integral calculus, little probability theory).

Prior knowledge of PyTorch from machine learning is a plus but not required.

Bibliography

The course material is largely self-contained and refers to external sources where not. The https://scratchapixel.com/ website is an excellent resource for self study of the covered materials and beyond. A script covering the core methodologies may be provided in future iterations of this course.

External comments page

https://docs.google.com/presentation/d/e/2PACX-1vRGyE0j_cU324qp-vOEE4hEBPn3HdwliZQqeg_vT0w7Yt9EUXmgFB6NamL_ynqeBMYRgD-cdvfvXobA/pub?start=false&loop=false&delayms=3000

Teaching staff

Dates ( Calendar view )

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Subject assignments

Module Course Requirements  
39-Inf-VC Visual Computing Visual Computing Student information
- Graded examination Student information
39-M-Inf-ASE-app-foc Applied Autonomous Systems Engineering (focus) Applied Autonomous Systems Engineering (focus): Vorlesung Student information
- Graded examination Student information
39-M-Inf-ASE-bas Basics of Autonomous Systems Engineering Basics of Autonomous Systems Engineering: Vorlesung Student information
- Ungraded examination Student information
39-M-Inf-INT-app-foc Applied Interaction Technology (focus) Applied Interaction Technology (focus): Vorlesung Student information
- Graded examination Student information
39-M-Inf-INT-bas Basics of Interaction Technology Basics of Interaction Technology: Vorlesung Student information
- Ungraded examination Student information

The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.


The course has a strong practical component, with live coding during lectures and weekly assignments that cover the learned material step-by-step.

E-Learning Space

A corresponding course offer for this course already exists in the e-learning system. Teaching staff can store materials relating to teaching courses there:

Registered number: 35
This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
Address:
SS2024_392153@ekvv.uni-bielefeld.de
This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_452307090@ekvv.uni-bielefeld.de
Coverage:
34 Students to be reached directly via email
Notes:
Additional notes on the electronic mailing lists
Last update basic details/teaching staff:
Friday, February 23, 2024 
Last update times:
Wednesday, April 24, 2024 
Last update rooms:
Wednesday, April 24, 2024 
Type(s) / SWS (hours per week per semester)
V / 2
Language
This lecture is taught in english
Department
Faculty of Technology
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