Programme And Module Handbook
 
Course Details in 2023/24 Session


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Module Title LM Robot Vision
SchoolComputer Science
Department Computer Science
Module Code 06 25024
Module Lead Hyung Jin Chang
Level Masters Level
Credits 20
Semester Semester 2
Pre-requisites
Co-requisites
Restrictions None
Exclusions
Description 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.
Learning Outcomes By the end of the module students should be able to:
  • Design, implement and test simple computer vision algorithms.
  • Write a detailed report on a computer vision project..
  • Survey and critically discuss the research literature in one subfield of computer vision.
  • Demonstrate an understanding of the main computer vision methods and computational models.
Assessment 25024-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (50%)
25024-02 : Continuous Assessment : Coursework (50%)
Assessment Methods & Exceptions Assessment:
Examination (50%),
Continuous Assessment (50%)

Reassessment:
Examination (100%)
Other
Reading List