COMP SCI 3315 - Computer Vision
Career: | Undergraduate |
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Units: | 3 |
Term: | Semester 1 |
Campus: | North Terrace |
Contact: | Up to 2 hours per week |
Available for Study Abroad and Exchange: | Yes |
Available for Non-Award Study: | No |
Pre-Requisite: | COMP SCI 2009 or COMP SCI 2103 |
Assumed Knowledge: | Mathematics background in linear algebra and probability as covered in MATHS 1004, SACE Stage 2 Mathematical Methods, or the online courses (MathTrackX: Probability and MathTrackX: Polynomials, Functions & Graphs) |
Incompatible: | COMP SCI 4022, COMP SCI 4122 |
Assessment: | Assignments and group project |
Syllabus: |
Over the last 40 years, researchers in artificial intelligence have endeavoured to develop computers with the capacity to "see" the world around them. This course aims to convey the nature of some of the fundamental problems in vision, and to explain a variety of techniques used to overcome them. Vision is a rapidly evolving area of computer science, and new and emerging approaches to these problems are discussed along with more "classical" techniques. Various vision problems are considered, including: feature detection in images, e.g. edge detection, and the accumulation of edge data to form lines; recovery of 3D shape from images, e.g. the use of a stereo image pair to derive 3D surface information; forming image mosaics; video surveillance techniques, e.g. tracking objects in video; motion detection in video images, e.g. counting number of moving objects in a video; recognising and classifying objects in images, e.g. searching a video for a particular object. Several assignments will be given to enable the student to gain practical experience in tackling some of these problems. |
Course Fees
Study Abroad student tuition fees are available here
Only some Postgraduate Coursework programs are available as Commonwealth Supported. Please check your program for specific fee information.
The fees displayed below for international students are for students commencing a program in 2024 only. International students who commenced a program in 2023 or prior can find their fee here.
EFTSL | |||
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0.125 |
Course Outline
A Course Outline which includes Learning Outcomes, Learning Resources, Learning & Teaching for this course may be accessed here
Critical Dates
Term | Last Day to Add Online | Census Date | Last Day to WNF | Last Day to WF |
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Semester 1 | Tue 12/03/2024 | Thu 21/03/2024 | Fri 03/05/2024 | Fri 07/06/2024 |
Class Details
Enrolment Class: Lecture | |||||||
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Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
13884 | LE01 | 290 | 71 | 29 Feb - 4 Apr | Thursday | 1pm - 3pm | Helen Mayo Nth, 103N, Florey Lecture Theatre |
25 Apr - 6 Jun | Thursday | 1pm - 3pm | Helen Mayo Nth, 103N, Florey Lecture Theatre | Note: For an enriching and interactive learning experience, it is highly recommended to attend the lecture in person. While the lecture will be recorded, it is primarily intended for review purposes and for individuals who cannot attend due to special circumstances. Please check MyUni for details once enrolled. | |||
Related Class: Workshop | |||||||
Class Nbr | Section | Size | Available | Dates | Days | Time | Location |
11480 | WR06 | 40 | 7 | 15 Mar - 15 Mar | Friday | 11am - 12pm | Schulz, 307, Teaching Room |
5 Apr - 5 Apr | Friday | 11am - 12pm | Schulz, 307, Teaching Room | ||||
10 May - 10 May | Friday | 11am - 12pm | Schulz, 307, Teaching Room | ||||
31 May - 31 May | Friday | 11am - 12pm | Schulz, 307, Teaching Room | ||||
13885 | WR05 | 40 | 13 | 15 Mar - 15 Mar | Friday | 4pm - 5pm | Hughes, 323, Teaching Room |
5 Apr - 5 Apr | Friday | 4pm - 5pm | Hughes, 323, Teaching Room | ||||
10 May - 10 May | Friday | 4pm - 5pm | Hughes, 323, Teaching Room | ||||
31 May - 31 May | Friday | 4pm - 5pm | Hughes, 323, Teaching Room | ||||
13886 | WR04 | 40 | 5 | 13 Mar - 13 Mar | Wednesday | 11am - 12pm | Schulz, 218, Teaching Room |
3 Apr - 3 Apr | Wednesday | 11am - 12pm | Schulz, 218, Teaching Room | ||||
8 May - 8 May | Wednesday | 11am - 12pm | Schulz, 218, Teaching Room | ||||
29 May - 29 May | Wednesday | 11am - 12pm | Schulz, 218, Teaching Room | ||||
13887 | WR03 | 40 | 2 | 13 Mar - 13 Mar | Wednesday | 12pm - 1pm | Schulz, 218, Teaching Room |
3 Apr - 3 Apr | Wednesday | 12pm - 1pm | Schulz, 218, Teaching Room | ||||
8 May - 8 May | Wednesday | 12pm - 1pm | Schulz, 218, Teaching Room | ||||
29 May - 29 May | Wednesday | 12pm - 1pm | Schulz, 218, Teaching Room | ||||
13888 | WR02 | 39 | 2 | 14 Mar - 14 Mar | Thursday | 4pm - 5pm | Petroleum Engineering, G04, Teaching Room |
4 Apr - 4 Apr | Thursday | 4pm - 5pm | Petroleum Engineering, G04, Teaching Room | ||||
9 May - 9 May | Thursday | 4pm - 5pm | Petroleum Engineering, G04, Teaching Room | ||||
30 May - 30 May | Thursday | 4pm - 5pm | Petroleum Engineering, G04, Teaching Room | ||||
13889 | WR01 | 40 | 20 | 15 Mar - 15 Mar | Friday | 1pm - 2pm | Benham, G25, Peter Martin Room |
5 Apr - 5 Apr | Friday | 1pm - 2pm | Benham, G25, Peter Martin Room | ||||
10 May - 10 May | Friday | 1pm - 2pm | Benham, G25, Peter Martin Room | ||||
31 May - 31 May | Friday | 1pm - 2pm | Benham, G25, Peter Martin Room | ||||
14898 | WR07 | 40 | 11 | 13 Mar - 13 Mar | Wednesday | 10am - 11am | Schulz, 218, Teaching Room |
3 Apr - 3 Apr | Wednesday | 10am - 11am | Schulz, 218, Teaching Room | ||||
8 May - 8 May | Wednesday | 10am - 11am | Schulz, 218, Teaching Room | ||||
29 May - 29 May | Wednesday | 10am - 11am | Schulz, 218, Teaching Room |