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.
Prerequisite Graph
Required first
CT2006Algorithm Design & AnalysisComputer Vision for AI
Unlocks
Available Indexes
| Mon | Tue | Wed | Thu | Fri | Sat | |
|---|---|---|---|---|---|---|
| 1330 | 14554 TUT (COMP4) 1330-1550 Sat SWLAB 3 Wk1-7 | |||||
| 1400 | ||||||
| 1430 | ||||||
| 1500 | ||||||
| 1530 |
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