CE866-7-AU-CO: Computer Vision
Department: Computer Science and Electronic Engineering
Essex credit: 15
ECTS credit: 7.5
Available to Study Abroad / Exchange Students: No
Full Year Module Available to Study Abroad / Exchange Students for a Single Term: No
Outside Option: No
Comments: CE866 is only available if the Year 3 equivalent module CE316 has not been taken, else another option module must be selected
Dr Adrian Clark
Dr Adrian Clark
School Office, e-mail 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
30 per cent Coursework Mark, 70 per cent Exam Mark
Assignment 1 with a weighting of 15% submitted via FASer in week 7
Assignment 2 with a weighting of 15% submitted via FASer in week 10
STUDENTS SHOULD NOTE THAT THIS MODULE INFORMATION IS SUBJECT TO REVIEW AND CHANGE
- 1. SONKA, M., et al., Image Processing, Analysis and Machine Vision, Chapman and Hall, 1999
- 2. BALLARD, D.H.B and BROWN, C.M.: Computer Vision, Prentice-Hall, 1982 (available online: http://homepages.inf.ed.ac.uk/rbf/BOOKS/BANDB/bandb.htm)
- 3. SZELISKI, R: Computer Vision: Algorithims and Applications Springer, 2010 (available online).
- 4. BRADSKI, G and KAEHLER, A: Learning OpenCV, O'Reilly and associates, 2008.
External Examiner Information
- Name: Dr Rong Qu
Institution: The University of Nottingham
Academic Role: Associate Professor