CET725 Pattern Recognition and Stereo Vision

Course Provider

School of Electrical and Electronic Engineering (EEE)



Academic Unit



Pattern recognition and stereo vision are essential in vision systems. Therefore, it is important to learn computer vision and machine intelligence. 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 pattern recognition and stereo system will be extensively studied in this subject. . 

This course is part of:
- Graduate Certificate in Computer Control and Automation
- FlexiMasters  in Computer Control and Automation

Download Brochure

Upon completion, learners should:

1. Understand specific theories in pattern recognition field;

2. Make use of the theories to solve supervised classification and unsupervised clustering problems;

3. Understand the concepts of stereo vision and;

4. Solve practical problems with considerations associated with designing successful vision systems.

Linear discriminant analysis. Nearest-neighbour classification. K-means clustering. Neural Networks

Stereo Geometry – Epipolar Geometry. Correspondence. 3D Reconstruction

Automation Engineers for upgrading and Engineers who wish to switch to the automation field.

Standard Course Fee: S$1,620

SSG Funding Support

Course fee payable after SSG funding, if eligible under various schemes

Fee BEFORE funding & GST

Fee AFTER funding & 8% GST

Singapore Citizens (SCs) and Permanent Residents (PRs) (Up to 70% funding)



Enhanced Training Support for SMEs (ETSS)


SCs aged ≥ 40 years old
SkillsFuture Mid-career Enhanced Subsidy (MCES)
(Up to 90% funding)

• NTU/NIE alumni may utilise their $1,600 Alumni Course Credits. Click here for more information.

Read more about funding
CET715 Discrete Time System Modelling and Analysis1
CET716 State-Space Design Methods1
CET717 Optimal Control, Design and Implementation of Digital Controllers1
CET718 Linear and Nonlinear Programming1
CET719 Random Processes and Queuing Models1
CET720 Decision Analysis1
CET721 Robot Kinematics1
CET722 Robot Control1
CET723 Robotic Sensing and Sensors1
CET724 Image Processing for Vision1
CET726 Three-dimensional computer vision1
CET727 Process modelling1
CET728 Model predictive control1
CET729 Multivariable process control1

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.