AC41002 Computer Vision Mini Guide
For the full module guide see AC41002 full guide
For the module web site visit http://www.computing.dundee.ac.uk/staff/stephen/visionmodule.html
Organisation
The Module Co-Ordinator for this module is Professor Stephen McKenna.
If you want to talk about an aspect of the module, or your work on it, please make an appointment to see one of the lecturer(s):
Professor Stephen McKenna, stephen@computing.dundee.ac.uk, 1.20 QMB
Professor Emanuele Trucco, manueltrucco@computing.dundee.ac.uk, 1.19 QMB
If you use email, please include "AC41002" in the heading.
Module Content and timetable
| Week | Topics Covered |
| One | N/A |
| Two | N/A |
| Three | N/A |
| Four | Introduction, Local Operations (convolution), Gaussian filters, edge detection |
| Five | Change detection, Colour |
| Six | Template matching, non-linear local operations; Regions, |
| Seven | Texture, Pattern recognition; Image formation, |
| Eight | Visual motion and tracking; Hough Transform |
| Nine | Active contours; Active shape models |
| Ten | 3D vision, debate |
| Eleven | Computational theories, Coursework demos |
| Twelve | Revision week |
Assessment and Course-Work
Coursework counts for 20% of the final module mark.
The final degree exam counts for 80% of the final module mark.
The coursework will be assessed on the basis of written reports and oral presentations. This assessment will include an element of moderated self/peer assessment. As part of this process, each student will be asked to assess the contribution of each member of their team (including themselves) and to suggest marks.
Assignments
| C/W No. | Title | Format | Handed out | Due Date | When to do | Effort Expected | Return Date | % |
| AC41002.1 | Development of a Prototype Computer Vision System | Written Report and Presentation/Demo | Week 4 | Report and Demo: week 11 (interim spoken report: week 7) | Weeks 4-11 inclusive | 24 hours | Week 13 | 20 |
Resource List
The course does not follow a set text. Students are recommended to purchase one of the main texts to which I will give references during the lectures. The recommended textbooks are all available in the University library.
Recommended Titles
- Machine Vision, Jain R, Kasturi R and Schunck B G, McGraw-Hill, 0-07-113407-7.
- Image Processing, Analysis & Machine Vision (2nd edition), Sonka M, Hlavac V and Boyle R, PWS, 0-412-45570-6.
- Introductory Techniques for 3-D Computer Vision, Trucco E and Verri A, Prentice Hall, 0-13-261108-2.
- Computer Vision: A Modern Approach, Forsyth D and Ponce J, Longman Higher Education, 0130851981.
- Machine Vision: Theory, Algorithms, Practicalities (3rdedition), Davies E R, Academic Press, 0122060938.
Background Reading
- Dynamic Vision: from Images to Face Recognition, Gong S, McKenna S J & Psarrou A, Imperial College Press, 1-86094-181-8.
- Vision, Marr D, Freeman, 0-7167-1567-8.
- Active Contours, Blake A and Isard M, Spinger Verlag, 3-540-76217-5.
- Computer Vision for Human-Machine Interaction, Cipolla R and Pentland A P (editors), Cambridge University Press, 0521622530.
- The Computer Image, Watt A and Policarpo F, Addison-Wesley, 0-201-42298-0.
Module Specification
For the formal module specification see AC41002 Vision 09-10.doc