CE316-6-AU-CO: Computer Vision
Department: Computer Science and Electronic Engineering
Essex credit: 15
ECTS credit: 7.5
Available to Study Abroad / Exchange Students: Yes
Full Year Module Available to Study Abroad / Exchange Students for a Single Term: No
Outside Option: No
Dr Adrian Clark
Dr Adrian Clark
School Office, email:csee-schooloffice (non-Essex users should add @essex.ac.uk to create full e-mail address), Telephone 01206 872770
|Module is taught during the following terms
The aim of this module is to provide students with an understanding of the principles and main methods for computer vision, and with practical experience of solving simple computer vision tasks.
After completing this module, students will be expected to be able to:
1. Describe the principles and main methods for computer vision.
2. Explain, on examples of visual data, how some methods facilitate aspects of two-dimensional vision.
3. Explain, on examples of visual data, how some methods facilitate aspects of three- dimensional vision.
4. Write computer programs to solve simple vision tasks.
Image formation, image enhancement and filtering, colour representations, edge detection, corner detection, circle detection, region growing, image segmentation, features and object recognition. Faces.
Stereopsis and depth reconstruction, target tracking, statistical shape models, computer vision system evaluation.
Learning and Teaching Methods
Lectures and Laboratories
40 per cent Coursework Mark, 60 per cent Exam Mark
Assignment 1 weighting = 20%, submitted in wk 6,
Assignment 2 weighting = 20%, submitted in wk 10.
Exam Duration and Period
2:00 during Summer Examination period.
STUDENTS SHOULD NOTE THAT THIS MODULE INFORMATION IS SUBJECT TO REVIEW AND CHANGE
- Students will be supplied with a substantial set of notes that explain the techniques involved in some detail.
- There are also excellent online references for computer vision, such as HIPR and cvonline, and online computer vision textbooks. Students will be pointed towards the relevant resources on the module website.