School of Computing Module Specification Form

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Oct 18, 2013 (3 years and 11 months ago)

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[ASQ10_Form_2]

School of Computing

Module Specification Form


Code

AC51007

Title

Computer Vision

College

CASE

School

Computing

Credit rating

Level

SHE M

(SCQF 11)

Volume

20

Credits

Aims

The aim of this module is to provide students with an understanding of
Computer Vision techniques and their application to real
-
world problems.

Intended
learning
outcomes

Demonstrate a detailed knowledge of a wide range of image processing
algorithms, in
cluding for dynamic vision and object recognition.

Critically review methods for modelling appearance and shape, and
different techniques for feature extraction and classification.

Perform image acquisition, enhancement and analysis.

Plan and execute a pr
oject applying computer vision to a real
-
world
problem.

Demonstrate a critical understanding of typical modules and processes in
real machine vision systems, and of developments at the forefront of
applying computer vision to real
-
world problems

Indicativ
e
content

Point Operations, Histogram Equalisation, Local Operations, Mathematical
Morphology, Edges, Hough Transform, Colour, Region Segmentation,
Texture, Dynamic Vision, Tracking, Imaging, Stereo, 3D Vision,
Computational Theories, Pattern Recognition,
Active Contours, Flexible
Shape Models, Object Recognition, Vision Systems.

Modes of
delivery &
student
participation

Students will participate in this module through on
-
campus attendance at
classes. The module

mixes conventional face
-
to
-
face lecture
-
bas
ed
delivery with supervised lab sessions for software development and
workshop sessions. Students participate in a project and make a
presentation on their work.

Teaching,
learning

and
assessment

Teaching includes approximately 22 hours of lectures and 20 hours of
other meetings for workshops and lab
-
based exercises. In addition,
students undertake a project in which they develop a computer vision
system. Students should make appropriate use of th
e on
-
line resources
provided and explore the literature.
Student support will involve a
combination of tutorials with tutor feedback (formative assessment), and
self
-

and peer
-
assessment on laboratory work.

When taught

S1

Summative
Assessment

Coursework (%)

2
0

Exam (%)

8
0


No. & duration of
exam(s)

one

2
-
hour degree examination

Pre
-
requisites
of entry
requirements

-

Accessibility
for students
with disability

Students with disabilities are supported on this module through the
University's
Disability Support Services
(
http://www.dundee.ac.uk/disabilitysupport/
) and will be given appropriate
aid and guidance consistent with their disability.

A web site for students with disabilities in the School of Computing is also
available at
http://www.computing.dundee.ac.uk/staff/awaller/disability.asp

Corequisites

-

Antirequisites

-