ECE4076 Computer vision
Faculty of Engineering
ECE4076 Computer vision is a level 4, 6-credit-point, undergraduate unit from the Faculty of Engineering, offered in 2021 in Semester 1 at Clayton and Malaysia. It needs ENG2005 and ECE2071.
- Credit points
- 6
- Offered in 2021
- Semester 1
- Clayton, Malaysia
- Assessment
- No exam
- 2 tasks
- Workload
- 144 hours
- per semester
This is the 2021 handbook entry. See the 2027 entry.
Reviews
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Requisites
Before ECE4076
Prerequisites
Pass these before you enrol.
After ECE4076
No unit lists ECE4076 as a prerequisite in the 2021 handbook.
Overview
This unit aims to develop an understanding of methods for extracting useful information (eg 3-D structure; object size, motion, shape, location and identity, etc) from images. It will allow you to understand how to construct computer vision systems for robotics, surveillance, medical imaging, and related application areas.
Offerings in 2021
| Teaching period | Campus | Mode |
|---|---|---|
| First semester | Clayton | On campus |
| First semester | Malaysia | On campus |
Assessment
- Software classThreshold hurdle40%
- Final assessmentThreshold hurdle60%
Learning outcomes
When you finish this unit, you should be able to:
- 1
Describe camera models.
- 2
Describe the elements of the human visual system and perception.
- 3
Apply geometry and photometry to image analysis.
- 4
Generate implementations for low level vision processes such as linear filtering, edge detection, texture, multi view geometry, stereopsis, structure from motion and optical flow and mid-level vision processes, such as segmentation and clustering, model fitting and tracking.
- 5
Design high-level vision processes such as model-based vision, surfaces and outlines, graphs, range data, templates and classifiers and learning methods.
- 6
Generate code to complete computer vision programming exercises in programming languages such as C and MatLab.
Workload and teaching
- Laboratories24 hours
- Practical activities12 hours
- Lectures12 hours
The minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of 3-6 hours of scheduled learning activities and 6-9 hours of independent study per week. Scheduled activities may include a combination of teacher-directed learning, peer-directed learning and online engagement. Independent study may include associated readings, assessment and preparation for scheduled activities.
Where it fits
ECE4076 is part of 4 areas of study in the 2021 handbook.
- AIENGMNR02Studying Electrical and computer systems engineering or Robotics and mechatronics engineering (Automation stream) specialisationArtificial intelligence in engineeringNo reviews yet
- ECSYSENG03Core electivesElectrical and computer systems engineeringNo reviews yet
- MAEELEC01Technical elective unitsElectrical engineeringNo reviews yet
- ROBMCTRN01Artificial intelligence streamRobotics and mechatronics engineeringNo reviews yet
Contacts
- Unit Coordinators
- Dr Maxine Tan
- Professor Tom Drummond
- Chief Examiners
- Professor Tom Drummond
Common questions
When is ECE4076 offered?
In 2021, ECE4076 runs in Semester 1 at Clayton and Malaysia.
How much work is ECE4076?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does ECE4076 have an exam?
No. ECE4076 has 2 assessment tasks and no exam.
Which majors and minors include ECE4076?
ECE4076 is part of Artificial intelligence in engineering; Electrical and computer systems engineering; Electrical engineering; and Robotics and mechatronics engineering.