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Visual Computing
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)
- Main link
- Information
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 |
|
4 h weekly |
| exercise | Visual Computing |
|
3 h weekly |
Offered In
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Electives (In the ‘electives’ subcategory, at least two course units must be successfully completed.)
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