Course Details in 2025/26 Session

Module Title	LM Computer Vision and Imaging (Extended)
School	Computer Science
Department	Computer Science
Module Code	06 30241
Module Lead	Hamid Dehghani
Level	Masters Level
Credits	20
Semester	Semester 1
Pre-requisites	LC Mathematical Foundations of Computer Science - (06 30181) LC Data Structure & Algorithms - (06 30175)
Co-requisites
Restrictions	None
Contact Hours	Lecture-33 hours Practical Classes and workshops-22 hours Guided independent study-145 hours Total: 200 hours
Exclusions
Description	Vision is one of the major senses that enables humans to act (and interact) in (ever)changing environments, and imaging is the means by which we record visual information in a form suitable for computational processing. Together, imaging and computer vision play an important role in a wide range of intelligent systems, from advanced microscopy techniques to autonomous vehicles. This module will focus on the fundamental computational principles that enable an array of picture elements, acquired by one of a multitude of imaging technologies, to be converted into structural and semantic entities necessary to understand the content of images and to accomplish various perceptual tasks. We will study the problems of image formation, low level image processing, object recognition, categorisation, segmentation, registration, stereo vision, motion analysis, tracking and active vision. The lectures will be accompanied by a series of exercises in which these computational models will be designed, implemented and tested in real-world scenarios.
Learning Outcomes	By the end of the module students should be able to: Understand the main computer vision and imaging methods and computational models Design, implement and test computer vision and imaging algorithms Know how to synthesise combinations of imaging and vision techniques to solve real-world problems The student should demonstrate the capacity to independently study, understand, and critically evaluate advanced materials or research articles in the subject areas covered by this module.
Assessment	30241-01 : Examination : Exam (Centrally Timetabled) - Written Unseen (50%) 30241-02 : Continuous Assessment : Coursework (50%)
Assessment Methods & Exceptions	Assessment: Examination (50%), Continuous Assessment (50%) Reassessment: Examination (100%)
Other
Reading List