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227-0448-00L 6 Credits BSC , DS , MSC D-HEST , D-PHYS , D-MAVT , D-BAUG , D-INFK , D-MATH , D-ITET

Computer Vision II

Bilddatenanalyse und Computer Vision II

Lecturers & Examiners: Prof. em. Dr. Gábor Székely, Prof. em. Dr. Luc Van Gool
4 credit points under the programme regulations 2001
VVZ CR n/a

Last Updated: 2026-02-05 15:29:47

Abstract

Introduction into the basic procedures for the interpretation of image content and object recognition. Demonstrating the current capabilities of computer vision systems through selected applications. Gaining own experience through practical computer and programming exercises.

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

Segmentation of complex object contours using elastically deformable models. Usage of unitary transforms, Principle Component Analysis and wavelets for representing image information. Topology and metrics of discrete image spaces, algorithms for thinning and distance transform. Colour perception and representation. Object description based on surface features. Texture characterization and analysis, including stochastic methods. Shape characterization using invariant descriptors, geometric invariants. Combination of shape and surface features using moment invariants. Object recognition, image and model based schemes. The usage of the presented procedures for the development of complex vision systems will be illustrated on some selected applications.

Resources

Lecture Notes

Course material Script, computer demonstrations, exercises and problem solutions.

General Information

Language
English
Levels
BSC , DS , MSC
Frequency
Yearly recurring

Examination

Type
session examination
Mode
oral 20 minutes

Course Components

Type Title Time & Place Hours
lecture with exercise Bilddatenanalyse und Computer Vision II
  • Thu 13:15-15:00 (ETZ E 6)
  • Thu 15:15-17:00 (ETL E 11.1)
4 h weekly

Offered In