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Module Title
LM Robot Vision
School
Computer 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.