Subject description
This subject is designed to equip students with an understanding of fundamental concepts and tools required to analyse, design and implement practical computer vision systems. Topics covered include digital cameras, image enhancement, edge and shape detection, video processing and analysis, object (e.g. humans and faces) detection and recognition, and the … For more content click the Read More button below.
Equivalence
CSCI435 - Computer Vision Algorithms and Systems
Tutorial enrolment
Students can enrol online via the Tutorial Enrolment link in SOLS
Delivery
To view information specific to your campus, click on Select availability in the top right of screen and choose from the campus, delivery mode and session options.
Teaching staff
Subject coordinators
Engagement hours
Contact Hours:2 hour lecture per week
Learning outcomes
On successful completion of this subject, students will be able to:
1.
Understand the principle of digital image and video cameras.
2.
Use image enhancement techniques.
3.
Use object detection and recognition techniques.
4.
Use video processing techniques to detect moving objects.
5.
Design and implement basic computer vision systems for real applications.
Assessment details
Quiz
Assignment
Group project
Final exam
Textbook information
No prescribed textbooks for this subject.