- Code ENGN4528
- Unit Value 6 units
- Offered by Research School of Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Areas of interest Information Technology, Engineering
- Academic career UGRD
- AsPr Hongdong Li
- Mode of delivery In Person
First Semester 2015
See Future Offerings
This subject introduces students to understanding of the fundamental problems in computer vision, and their state-of-the-art solutions. Topics covered in detail include: camera geometry, image formation, image filtering, thresholding and image segmentation, edge, point and line detection, geometric frameworks for vision, single view and two views geometry; 3D modelling and reconstruction, camera calibration; stereo vision, motion and optical flow; object recognition, appearance based scene recognition; pose estimation in perspective images, etc. The course is featured by an extensive practical component including computer labs and term projects that provides the students with a tool box of skills in image processing and computer vision.
Upon successful completion, students will have the knowledge and skills to:1. Understand the foundations of modern computer vision theory, problem and state of the art solutions.
2. Implement and test some fundamental computer vision algorithms e.g. image filtering, restoration, image segmentation, camera calibration.
3. Analyse and evaluate critically the building and integration of computer vision algorithms and systems.
4. Design and demonstrate a working computer vision system through team research project, and project report, presentation.
5. Continue to critically review and assess scientific literature and apply the knowledge and skills gained from the course in developing innovative applications.
Professional Skills Mapping:
Mapping of Learning Outcomes to Assessment and Professional Competencies
- Laboratories (30%)
- Term Project (30%)
- Examinations (40%)
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Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|2285||16 Feb 2015||06 Mar 2015||31 Mar 2015||29 May 2015||In Person||N/A|