Module 25024 (2012)

Module Description - Robot Vision

The Module Description is a strict subset of the Syllabus Page, which gives more information

Module TitleRobot Vision
SchoolComputer Science
Module Code06-25024
DescriptorCOMP/06-25024/LM
Member of StaffAles Leonardis
LevelM
Credits20
Semester1
Pre-requisitesNone
Co-requisitesNone
RestrictionsNone
Contact hours44
Delivery2 hrs lectures per week, 4 student presentations, laboratory sessions
DescriptionVision 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.
Outcomes
On successful completion of this module, the student should be able to:Assessed by:
design, implement and test simple computer vision algorithms Team project
write a detailed report on a computer vision project Team project
survey and critically discuss the research literature in one subfield of computer vision Presentation
demonstrate an understanding of the main computer vision methods and computational models Team project, examination
AssessmentSessional: 1.5 hour examination (40%), Continuous assessment (team project and presentation) (60%)
Supplementary (where allowed): By repeat only.
TextsD. Forsyth, J. Ponce, Computer Vision - A Modern Approach, 2002
R. Szeliski, Computer Vision - Algorithms and Applications, 2010
R. Hartley, A. Zisserman, Multiple View Geometry in Computer Vision, 2004
S. Dickinson, A. Leonardis, B. Schiele and M. J. Tarr (Editors), Object Categorization: Computer and Human Vision Perspectives, 2009