Singapore University of Social Sciences

Computer Vision & Applications

Computer Vision & Applications (AIB553)

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 January

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
Back to top
Back to top