COMP 6003 Computer Vision
Credit Points 10
Coordinator Yan Zhang Opens in new window
Description Computer vision uses artificial intelligence to train computers to interpret and understand visual images. Through the information that is derived, computer systems can make decisions and take actions. The amount of visual information today from digital devices and cameras along with improved technology has enabled considerable advances in automated image interpretation. In this subject students learn the state-of-the-art technologies of image processing and computer vision through practical activities. Computer vision is used, and has the potential to be used, in a range of industries, in novel ways. This presents a unique opportunity to students completing this subject.
School Computer, Data & Math Sciences
Discipline Computer Science, Not Elsewhere Classified.
Student Contribution Band HECS Band 2 10cp
Check your HECS Band contribution amount via the Fees page.
Level Postgraduate Coursework Level 6 subject
Assumed Knowledge
Students should have general background in programming, computing, and/or statistics.
Assessment
The following table summarises the standard assessment tasks for this subject. Please note this is a guide only. Assessment tasks are regularly updated, where there is a difference your Learning Guide takes precedence.
Type | Length | Percent | Threshold | Individual/Group Task |
---|---|---|---|---|
Practical | 2 hours (per task) | 30 | N | Individual |
Quiz | 2 hours | 30 | N | Individual |
Report | 1000 words | 30 | N | Group/Individual |
Presentation | 20 minutes | 10 | N | Group/Individual |
Prescribed Texts
Szeliski, R. (2022). Computer Vision: Algorithms and Applications. Springer.
Teaching Periods