Computer Vision & Applications

Synopsis

Computer vision is a scientific field that enables computers to “see” –-- understand the content of images and videos and use that information to solve real-world problems without human assistance. This course AIB553 Computer Vision & Applications aims to teach the fundamental concepts and various applications of computer vision. The topics covered include image representation, feature detection and matching, camera model, Convolutional Neural Network (CNN), image classification, face recognition, semantic segmentation and Generative Adversarial Network (GAN).

Level: 5
Credit Units: 5
Presentation Pattern: EVERY JAN

Topics

Introduction to computer vision
Image formation
Camera model
Feature detection and matching
Foundations of Convolutional Neural Networks (CNN)
Deep Convolutional Models
Image classification
Object detection and face recognition
Object tracking
Image segmentation
Generative Adversarial Network (GAN)
Computer vision for business

Learning Outcome

Appraise the image processing fundamentals
Construct robust image matching and stitching
Evaluate camera and projection models
Critique the fundamental theory and techniques of CNN
Formulate a CNN model to solve image classification problem
Propose various computer vision applications for business

Part-time Programmes / CET Courses

Singapore University of Social Sciences

Computer Vision & Applications