Module 19339 (2013)

Module Description - Computational Vision

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

Module TitleComputational Vision
SchoolComputer Science
Module Code06-19339
DescriptorCOMP/06-19339/LI
Member of StaffHamid Dehghani
LevelI
Credits10
Semester2
Pre-requisitesNone
Co-requisitesNone
RestrictionsNone
Contact hoursApprox. 34
Delivery2 hrs lectures per week, 1 hr lab/exercise class
DescriptionThe module provides an introduction to computer vision, intended for students with some prior background in AI. Appropriate computational models, techniques and algorithms will be introduced, so that students can both understand the relevant literature and construct simple sofware systems.
Outcomes
On successful completion of this module, the student should be able to:Assessed by:
make informed choices about which sort of algorithms to apply to solve specific problemsExamination
use standard vision libraries or software to construct working vision systemsExamination, Continuous Assessment (practical work)
apply algorithms to simplified problems by handExamination
discuss the advantages and drawbacks of different methods, explaining their workingExamination, Continuous Assessment (practical work)
AssessmentSessional: 1.5 hr examination (70%), continuous assessment (30%).
Supplementary (where allowed): By examination only.
The continuous assessment consists of a team project.
TextsDana Ballard & Chris Brown, Computer Vision, 1982
David Forsyth & Jean Ponce, Computer Vision: A Modern Approach, 2003
J R Parker, Algorithms for Image Processing and Computer Vision, 1996