VVZ API is not affiliated with ETH Zurich. Data might be outdated or incorrect. Please view the official ETHZ Vorlesungsverzeichnis for binding information.
Computer Vision I
Bilddatenanalyse und Computer Vision I
Last Updated: 2026-02-05 15:24:43
Abstract
Interaction of light with matter. Optical devices, cameras and light sources. Basic concepts of sampling and quantization. Image processing by linear and non-linear filtering, noise supression, image restauration and feature extraction. Procedures for the analysis of multiple images, depth and motion extraction. Estimation of image velocities (optical flow). Intensity-based object segmentation.
Objective
Overview of the basic concepts of image formation, perception and analysis, and Computer Vision. Gaining own experience through practical computer and programming exercises.
Content
The first part of the course starts off from an overview of existing and emerging applications that need computer vision. It shows that the realm of image processing is no longer restricted to the factory floor, but is entering several fields of our daily life. First it is investigated how the parameters of the electromagnetic waves are related to our perception. Also the interaction of light with matter is considered. The most important hardware components of technical vision systems, such as cameras, optical devices and illumination sources are discussed. The course then turns to the steps that are necessary to arrive at the discrete images that serve as input to algorithms. A separate chapter is devoted to sampling and quantisation. The next part describes necessary preprocessing steps of image analysis, that enhance image quality and/or detect specific features such as edges and corners. Linear and non-linear filters are introduced for that purpose. The course will conclude by analyzing procedures for the analysis of multiple images containing additional types of basic information, with motion and depth as two important examples. The estimation of image velocities (optical flow) will get due attention. Several techniques are discussed to extract three-dimensional information about objects and scenes.
Resources
Lecture Notes
Course material Script, computer demonstrations, exercises and problem solutions
General Information
- Language
- English
- Levels
- DS , BSC , MSC , WBZ
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- oral 15 minutes
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture with exercise |
Bilddatenanalyse und Computer Vision I
nur Vorlesung 13-15
|
|
4 h weekly |
Offered In
-
-
-
-
-
-
-
-
-
-
-
Bioimaging (A minimum of 12 CP must be obtained from track core courses.)
-
Biomechanics (A minimum of 12 CP must be obtained from track core courses.)
-
Electives for All Tracks (The suggested elective courses for each track are available on the website of the Master Program Biomedical Engineering ( ).)
-
-
-
-
-
-
Application Area (only necessary for the Master degree in Applied Mathematics)
-
-
-
-
Communication (A total of 42 CP must be achieved during the Master Program. The individual study plan is subject to the tutor's approval.)
-
Recommended Subjects (These courses are recommended, but you are free to choose courses from any other special field. Please consult your tutor.)
-
-
Computer and Networking (A total of 42 CP must be achieved during the Master Program. The individual study plan is subject to the tutor's approval.)
-
Recommended Subjects (These courses are recommended, but you are free to choose courses from any other special field. Please consult your tutor.)
-
-
Systems and Control (A total of 42 CP must be achieved during the Master Program. The individual study plan is subject to the tutor's approval.)
-
Recommended Subjects (These courses are recommended, but you are free to choose courses from any other special field. Please consult your tutor.)
-
-
-
-