CET726 Three-dimensional Computer Vision

Course Provider

School of Electrical and Electronic Engineering (EEE)



Academic Unit



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;

5. cross ratio, definition and calculation from N-vectors.

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)



Enhanced Training Support for SMEs (ETSS)


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

  • Standard course fee is inclusive of GST.
  • 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
CET725 Pattern Recognition and Stereo 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.