Postgraduate Course: Advanced Vision (Level 11) (INFR11031)
Course Outline
| School |
School of Informatics |
College |
College of Science and Engineering |
| Course type |
Standard |
Availability |
Available to all students |
| Credit level (Normal year taken) |
SCQF Level 11 (Postgraduate) |
Credits |
10 |
| Home subject area |
Informatics |
Other subject area |
None |
| Course website |
http://www.inf.ed.ac.uk/teaching/courses/av |
|
|
| Course description |
This module aims to build on the introductory computer vision material taught in Introduction to Vision and Robotics. The main aim is to give students an understanding of main concepts in visual processing by constructing several vision systems during the course of the lecture series and practicals. |
Entry Requirements
| Pre-requisites |
Students MUST have passed:
Introduction to Vision and Robotics (INFR09019)
|
Co-requisites |
|
| Prohibited Combinations |
Students MUST NOT also be taking
Advanced Vision (Level 10) (INFR10001)
|
Other requirements |
For Informatics PG and final year MInf students only, or by special permission of the School. This course assumes an ability to program in MATLAB and the following mathematical knowledge: Eigenvectors, Basic matrix algebra: m
|
| Additional Costs |
None |
Course Delivery Information
|
| Delivery period: 2010/11 Semester 2, Available to all students (SV1)
|
WebCT enabled: No |
Quota: None |
| Location |
Activity |
Description |
Weeks |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
| Central | Lecture | | 1-11 | | | | 14:00 - 14:50 | | | Central | Lecture | | 1-11 | 14:00 - 14:50 | | | | |
| First Class |
Week 1, Monday, 14:00 - 14:50, Zone: Med and Vet. Meadows Lecture Theatre, Medical School, Teviot |
| Additional information |
M-F 0900-1700 as arranged. |
Summary of Intended Learning Outcomes
1 - understand machine vision principles (assessed by exam).
2 - be able to acquire and process raw image data (assessed practical).
3 - be able to relate image data to 3D scene structures (assessed practical).
4 - know the concepts behind and how to use several model-based object representations, and to critically compare them (assessed by exam).
5 - know many of the most popularly used current computer vision techniques (assessed by exam).
6 - undertake computer vision work in MATLAB (assessed practical).
7 - be able to review and critique current research work (literature review). |
Assessment Information
Written Examination 70
Assessed Assignments 30
Oral Presentations 0
Assessment
There are 2 lab-based practicals at 10% each, plus a 3rd assignment for 10% more. The lab exercise is done in teams of 2. These exercises usually involve: 1) basic image processing and 2) 3D scene or video analysis. Any programming language can be used, but Matlab is the language used in the lecture materials. The 3rd assignment will be to create a web page summarising a topic in CVonline for which no material exists at present. There will be a small set of alternative topics suitable for level 11 students available for the web page construction.
If delivered in semester 1, this course will have an option for semester 1 only visiting undergraduate students, providing assessment prior to the end of the calendar year. |
| Please see Visiting Student Prospectus website for Visiting Student Assessment information |
Special Arrangements
| Not entered |
Contacts
| Course organiser |
Dr Michael Rovatsos
Tel: (0131 6)51 3263
Email: mrovatso@inf.ed.ac.uk |
Course secretary |
Miss Kate Weston
Tel: (0131 6)50 2701
Email: Kate.Weston@ed.ac.uk |
|
copyright 2010 The University of Edinburgh -
1 September 2010 6:11 am
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