Fundamentals of Computer Vision

Date: 8 May, 10 May, 11 May, 12 May, 15 May and 16 May 2023 | 9am-5.30pm | Classroom Learning

Duration: 6 Days

Course Objectives

This course equips the participant with the conceptual understanding of Computer Vision (CV). The participant will be able to manage the CV projects, interpret CV results, and understand the limitations of CV by end of the course.

This module is part of Professional Certificate in Fundamentals of Computer Vision.


At the end of the course, the participants will be able to:

  • Basic notation and concepts
    • Functions, Trigonometry, Graphical plots, Probability
  • Image Procession – Image manipulation
    • Image representation in memory and file formats overview
    • Contrast enhancement, sharpening, blurring, denoising
    • Image registration & alignment.
    • Tools: GIMP
  •  Classification & Regression
    • Training, testing, validation, feature extraction
  • Data Collection
    • Ethics, Protocol, Management
  • Object Detection
    • Faces, pedestrians, other objects, Segmentation
  • Video Analysis
    • Optical flow, Tracking, Temporal alignment, Action recognition

Who Should Attend

Computer Vision Users

Course Conveners

(Click their photos to view their short biographies)

ddddd Natarajan Prabhu

Dr Natarajan PrabhuDr Natarajan Prabhu

ccccc Terence Sim

Assoc Prof Terence SimAssoc Prof Terence Sim

ccccc Ng Teck Khim

Assoc Prof Ng Teck KhimAssoc Prof Ng Teck Khim

Course Fees

Singapore Citizens
39 years old or younger
40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants

Total Nett Programme Fee Payable, Including GST, after additional funding from the various funding schemes

Participants must fulfill at least 75% attendance and pass all assessment components to be eligible for SSG funding.

To enquire, email

To register, click Register

Course Code:

Select Short Course / Modular Course -> Apply for Myself -> Browse Academic Modules / Short Courses-> Module/Course Category -> Short Courses -> Browse Courses-> Advanced Computing for Exe (Faculty/Department / Unit)

Please download the user guide for NUS Online Application Portal after you click ‘Apply for Myself’ if you need assistance.

Course Fee Breakdown

Singapore Citizens

Singapore Citizens

39 years old or younger

Singapore Citizen

40 years old or older
Singapore PRs
Enhanced Training Support for SMEs
International Participants