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Unit of study_
AMME4710: Computer Vision and Image Processing
This unit of study introduces students to vision sensors, computer vision analysis and digital image processing. This course will cover the following areas: fundamental principles of vision sensors such as physics laws, radiometry, CMOS/CDD imager architectures, colour reconstruction; the design of physics-based models for vision such as reflectance models, photometric invariants, radiometric calibration. This course will also present algorithms for video/image analysis, transmission and scene interpretation. Topics such as image enhancement, restoration, stereo correspondence, pattern recognition, object segmentation and motion analysis will be covered.
| Code | AMME4710 |
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| Academic unit | Aerospace, Mechanical and Mechatronic |
| Credit points | 6 |
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Prerequisites:
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30cp of any 3000- or higher level Engineering units of study and (ENGG1801 or ENGG1810 or INFO1110 or INFO1910) |
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Corequisites:
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None |
| Prohibitions:
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None |
| Assumed knowledge:
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The unit assumes that students have strong skills in either MATLAB or Python |
At the completion of this unit, you should be able to:
- LO1. demonstrate skills in presenting a final design solution to a computer vision/image processing problem
- LO2. demonstrate skills in working on a design project within a team including communicating with team members, planning, and managing tasks
- LO3. design an engineering solution to a given image processing task by selecting, developing and evaluating appropriate algorithms and techniques.
- LO4. understand the fundamental principles of how images are formed including the basics of image sensors, radiometry, colour, and projective geometry
- LO5. apply basic techniques in image processing including the use of image filtering, features, edge detection, colour spaces/transforms, and matching
- LO6. apply advanced techniques in computer vision including stereo vision, 3D mapping, object detection, image classification, and use of machine learning algorithms in vision
- LO7. apply a wide range of image processing techniques to real world applications
- LO8. understand the type of algorithm required for a particular image processing task.
Unit outlines
Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.
- Semester 2, 2023 [Normal day] - Camperdown/Darlington, Sydney
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