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Introduction
Computer vision and machine intelligence is fast developing as an important course towards the realization of many systems in application today such as unmanned vehicle navigation. The basic knowledge of this growing area is therefore pertinent to aspiring engineers. The objective of this course is to equip students with a broad understanding of the various techniques in computer vision that can be coupled with the elements of machine intelligence. Topics such as three-dimensional motion will be extensively studied.
This course is part of:
- Graduate Certificate in Computer Control and Automation
- FlexiMasters
in Computer Control and Automation
Download Learning Pathway E-Guide
On completion of the course, the learners should be able to understand specific theories and algorithms in three-dimensional computer vision and machine intelligence. The learners will also appreciate the practical problems and considerations associated with designing successful vision systems using three-dimensional vision techniques.
1. N-vectors, points/lines;
2. 3D motion, rotation/translation,
3. Vanishing points/lines, Focus of Expansion;
4. Motion parallax, points and lines, with and without rotation and;
Automation Engineers for upgrading and Engineers who wish to switch to the automation field.
Learners must read CET725 Pattern Recognition and Stereo Vision before attempting this course.
Standard Course Fee: S$1,635
SSG Funding Support | Course fee | Course fee payable after SSG funding, if eligible under various schemes | |
BEFORE funding & GST | AFTER funding & 9% GST | ||
Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding) | S$1,500 | S$490.50 | |
Enhanced Training Support for SMEs (ETSS) | S$190.50 | ||
SCs aged ≥ 40 years old | |||
- Standard course fee is inclusive of GST.
- NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.
| COURSE TITLE | ACADEMIC UNIT |
| CET715 Discrete Time System Modelling and Analysis | 1 |
| CET716 State-Space Design Methods | 1 |
| CET717 Optimal Control, Design and Implementation of Digital Controllers | 1 |
| CET718 Linear and Nonlinear Programming | 1 |
| CET719 Random Processes and Queuing Models | 1 |
| CET720 Decision Analysis | 1 |
| CET721 Robot Kinematics | 1 |
| CET722 Robot Control | 1 |
| CET723 Robotic Sensing and Sensors | 1 |
| CET724 Image Processing for Vision | 1 |
| CET725 Pattern Recognition and Stereo Vision | 1 |
| CET727 Process modelling | 1 |
| CET728 Model predictive control | 1 |
| CET729 Multivariable process control | 1 |
Listed courses are:
- Credit-bearing and stackable to Graduate Certificate in Computer Control and Automation (total 9AUs) and FlexiMasters in Computer Control and Automation (total 15AUs).
- SSG funded and SkillsFuture Credit approved.
