This course aims to introduce basic concepts and technologies of computer vision, and develop skills to implement widely used algorithms to process real vision tasks. This course presents you with digital image acquisition, representation, processing, recognition, and 3D reconstruction, to gain understanding of algorithm and system design, analytical tools, as well as practical implementations of various computer vision applications. In addition, it will also cover the recent computer vision development with deep learning technology. You will be equipped with fundamental knowledge, practical skills, and the insights for future development in this area.
| AUs | 3.0 AUs |
| Grade Type | |
| Prerequisite | Year 3 standing |
| Exam | 2 December 2026, 1.00 pm - 3.00 pm |
The Exam information shown may be subject to changes. Students are to check the finalised exam timetable with exam seat information, which will be available at the 'Examination Seating Arrangement' webpage, 2 weeks before start of examination.
Available Indexes
| Mon | Tue | Wed | Thu | Fri | |
|---|---|---|---|---|---|
| 1430 | COMMON LEC (SCL4) 1430-1620 Tue LT19 | ||||
| 1500 | |||||
| 1530 | |||||
| 1600 | |||||
| 1630 | 10536 TUT (SCEL) 1630-1720 Tue LT19 Wk2-13 | ||||
| 1700 |
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