ECE5176 Computer vision
Faculty of Engineering
ECE5176 Computer vision is a level 5, 6-credit-point, postgraduate unit from the Faculty of Engineering. It isn't offered in 2020. It has no prerequisites.
- Credit points
- 6
- Offered in 2020
- Not offered
This is the 2020 handbook entry. See the 2027 entry.
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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 2020
The 2020 handbook lists no offerings for ECE5176.
Learning outcomes
When you finish this unit, you should be able to:
- 1
Appreciate different camera models.
- 2
Discuss 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 and implement high-level vision processes such as model-based vision, surfaces and outlines, graphs, range data, templates and classifiers and learning methods.
- 6
Synthesise and design code to complete computer vision programming exercises in programming languages such as C and MatLab.
Workload and teaching
2 hours lectures, 4 hours of practical classes and 6 hours of private study per week.
Contacts
- Chief Examiners
- Professor Tom Drummond
Common questions
What are the prerequisites for ECE5176?
ECE5176 has no prerequisites.
When is ECE5176 offered?
ECE5176 has no offerings listed in the 2020 handbook.