392153 Visual Computing (V) (SoSe 2026)

Alternative title: Computer Graphics for Visual Computing

This course unites topics in computer graphics, computer vision, and human perception within the field of visual computing.
It has a strong practical component with students working in the assignments towards implementing the Gaussian Splatting algorithm---an algorithm for 3D reconstruction and rendering that is widely used in practice.

Conceptually, 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 such that renderings look realistic to the human visual system? The computer graphics models are also used for 3D computer vision. We discuss how we can 'invert' the rendering process to reconstruct geometry from photographs.

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)
• 3D geometry (perspective projection, optimization)
• human (color) perception models

Together, they form the foundation for developing and extending Gaussian Splatting. 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

Teilnahmevoraussetzungen, notwendige Vorkenntnisse

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 or Julia) and basic mathematics (in particular linear algebra, some integral calculus, little probability theory).

Literaturangaben

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.

Externe Kommentarseite

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