School of Computer Science

Module 25024 (2018)

Module description - Robot Vision

The Module Description is a strict subset of the Syllabus Page.

Module Title Robot Vision
School School of Computer Science
Module Code 06-25024
Level 4/M
Member of Staff Hyung Jin Chang
Semester Semester 2 - 20 credits

2 hrs lectures per week, 4 student presentations, laboratory sessions

Contact Hours: 44


Vision is one of the major senses that enables humans to act (and interact) in (ever)changing environments. In a similar vein, computer vision should play an equally important role in relation to intelligent robotics. This module will focus on the fundamental computational principles that enable to convert an array of picture elements into structural and semantic entities necessary to accomplish various perceptual tasks. In a series of lectures, we will study the problems of low level image processing, recognition, categorisation, stereo vision, motion analysis, tracking and active vision. The lectures will be accompanied by a series of laboratory exercises where many of these computational models will be designed, implemented and tested in real-world scenarios.


On successful completion of this module, the student should be able to:

  1. design, implement and test simple computer vision algorithms
  2. write a detailed report on a computer vision project
  3. survey and critically discuss the research literature in one subfield of computer vision
  4. demonstrate an understanding of the main computer vision methods and computational models

Sessional: 2 hour examination (70%), Continuous assessment (team project) (30%).

Supplementary (where allowed): Examination (70%) (with 30% CA carried over).