Subject Descriptions - Subject Information


Calendar: 2017 Postgraduate
Faculty: Faculty of Engineering and Information Sciences
Department: School of Computing and Information Technology



Subject Information
Subject Code CSCI935
Subject Name Computer Vision Algorithms and Systems
Credit Points 6
Pre-Requisites None.
Co-Requisites None.
Restrictions None.
Equivalence None.
Assessment Three assignments (60%), final examination (40%)
General Subject No.

Subject Description
This subject is designed to equip students with an understanding of fundamental concepts and tools required to analyse, design and implement practical computer vision systems. Topics covered include digital cameras, image enhancement, edge and shape detection, video processing and analysis, object (e.g. humans and faces) detection and recognition, and the recent advances. The subject will focus on practice of computer vision technologies using widely used libraries (e.g. openCV or Matlab Computer Vision toolbox).


Subject Learning Outcomes
On successful completion of this subject, students will be able to:
1. Understand the principle of digital image and video cameras.
2. Use image enhancement techniques.
3. Use object detection and recognition techniques.
4. Use video processing techniques to detect moving objects.
5. Design and implement basic computer vision systems for real applications.

Extra Information
Generic Extra Information:
Assumed Knowledge:1st year University Calculus, Algebra and Probability