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252-0206-00L 8 Credits BSC D-MATH , D-INFK
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Visual Computing

VVZ CR 3.72

Last Updated: 2026-02-05 15:48:02

Abstract

This course acquaints students with core knowledge in computer graphics, image processing, multimedia and computer vision. Topics include: Graphics pipeline, perception and camera models, transformation, shading, global illumination, texturing, sampling, filtering, image representations, image and video compression, edge detection and optical flow.

Objective

This course provides an in-depth introduction to the core concepts of computer graphics, image processing, multimedia and computer vision. The course forms a basis for the specialization track Visual Computing of the CS master program at ETH.

Content

Course topics will include: Graphics pipeline, perception and color models, camera models, transformations and projection, projections, lighting, shading, global illumination, texturing, sampling theorem, Fourier transforms, image representations, convolution, linear filtering, diffusion, nonlinear filtering, edge detection, optical flow, image and video compression. In theoretical and practical homework assignments students will learn to apply and implement the presented concepts and algorithms.

Resources

Lecture Notes

A scriptum will be handed out for a part of the course. Copies of the slides will be available for download. We will also provide a detailed list of references and textbooks.

Literature

Markus Gross: Computer Graphics, scriptum, 1994-2005

Learning Materials (Links)

General Information

Language
English
Levels
BSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
written 180 minutes
Aids
8 Seiten (4 A4-Blätter) handschriftliche Zusammenfassung und nicht programmierbare Taschenrechner

Course Components

Type Title Time & Place Hours
lecture Visual Computing
  • Tue 10:15-12:00 (HG G 3)
  • Thu 14:15-16:00 (HG G 3)
4 h weekly
exercise Visual Computing
  • Tue 13:15-16:00 (CHN G 42)
  • Thu 09:15-12:00 (IFW A 36)
3 h weekly

Offered In