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Unit of study_

ELEC5304: Intelligent Visual Signal Understanding

2025 unit information

This unit of study introduces basic and advanced concepts and methodologies in image processing and computer vision. This course mainly focuses on image processing and analysis methods as well as intelligent systems for processing and understanding multidimensional signals such as images, which include basic topics like multidimensional signal processing fundamentals and advanced topics like visual feature extraction and image classification as well as their applications for face recognition and object/scene recognition. It mainly covers the following areas: multidimensional signal processing fundamentals, image enhancement in the spatial domain and frequency domain, edge processing and region processing, imaging geometry and 3D stereo vision, object recognition and face recognition.

Unit details and rules

Managing faculty or University school:

Engineering

Study level Postgraduate
Academic unit School of Electrical and Computer Engineering
Credit points 6
Prerequisites:
? 
None
Corequisites:
? 
None
Prohibitions:
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None
Assumed knowledge:
? 
Mathematics (e.g. probability and linear algebra) and programming skills (e.g. Matlab/Java/Python/C++)

At the completion of this unit, you should be able to:

  • LO1. report results in a professional manner
  • LO2. use appropriate software platforms and tools for a given image processing or computer vision task
  • LO3. use the existing image processing and computer vision packages
  • LO4. apply the image processing and computer vision techniques to solve real world applications
  • LO5. understand the fundamental theory of image processing and computer vision algorithms.

Unit availability

This section lists the session, attendance modes and locations the unit is available in. There is a unit outline for each of the unit availabilities, which gives you information about the unit including assessment details and a schedule of weekly activities.

The outline is published 2 weeks before the first day of teaching. You can look at previous outlines for a guide to the details of a unit.

Session MoA ?  Location Outline ? 
Semester 1 2024
Normal day Camperdown/Darlington, Sydney
Session MoA ?  Location Outline ? 
Semester 1 2025
Normal day Camperdown/Darlington, Sydney
Outline unavailable
Session MoA ?  Location Outline ? 
Semester 1 2020
Normal day Camperdown/Darlington, Sydney
Semester 1 2021
Normal day Camperdown/Darlington, Sydney
Semester 1 2021
Normal day Remote
Semester 1 2022
Normal day Camperdown/Darlington, Sydney
Semester 1 2022
Normal day Remote
Semester 1 2023
Normal day Camperdown/Darlington, Sydney
Outline unavailable
Semester 1 2023
Normal day Remote
Outline unavailable

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Modes of attendance (MoA)

This refers to the Mode of attendance (MoA) for the unit as it appears when you’re selecting your units in Sydney Student. Find more information about modes of attendance on our website.