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CM52035: Advanced computer vision

[Page last updated: 22 April 2025]

Academic Year: 2025/26
Owning Department/School: Department of Computer Science
Credits: 10 [equivalent to 20 CATS credits]
Notional Study Hours: 200
Level: Masters UG & PG (FHEQ level 7)
Period:
Academic Year
Assessment Summary: CWRI 50%, CWSG 50%
Assessment Detail:
  • Coursework in labs (CWSG 50%)
  • Report (CWRI 50%)
Supplementary Assessment:
Like-for-like reassessment (where allowed by programme regulations)
Requisites: In taking this module you cannot take CM32022 OR take CM30080
Before taking this module you must ( take CM22009 AND take CM22010 ) OR ( take CM20315 AND take CM20219 )
Learning Outcomes: 1. Describe and implement advanced image processing algorithms; 2. Describe the mathematics of multi-view geometry and their applications to 3D reconstruction; 3. Understand classical and learning-based low- and high-level computer vision techniques; 4. Appreciate a broad range of contemporary computer vision and its applications; 5. Critically evaluate the strengths and weaknesses of various computer vision algorithms.


Synopsis: "Advanced Computer Vision dives deeper into advanced ways of processing images to extract information and models. This unit develops a deeper understanding of the underlying mathematics of images, to become familiar with several advanced computational techniques and algorithms in vision as well as their applications. "

Content: Practical camera models: projections; calibration; rectification Advanced image processing: feature detection; scale spaces and pyramids; compressed sensing Multi-camera vision: planar geometry; epipolar geometry; the fundamental matrix 3D reconstruction; depth estimation; triangulation; structure from motion Advanced classical and deep learning techniques for vision problems such as segmentation, detection, recognition; classification and regression models Contemporary topics and applications of computer vision

Course availability:

CM52035 is Optional on the following courses:

Department of Computer Science
  • USCM-AFM01 : MComp(Hons) Computer Science (Year 4)
  • USCM-AAM02 : MComp(Hons) Computer Science with Study year abroad (Year 5)
  • USCM-AKM02 : MComp(Hons) Computer Science with Year long work placement (Year 5)
  • USCM-AFM27 : MComp(Hons) Computer Science and Artificial Intelligence (Year 4)
  • USCM-AAM27 : MComp(Hons) Computer Science and Artificial Intelligence with Study year abroad (Year 5)
  • USCM-AKM27 : MComp(Hons) Computer Science and Artificial Intelligence with Year long work placement (Year 5)

Notes:

  • This unit catalogue is applicable for the 2025/26 academic year only. Students continuing their studies into 2026/27 and beyond should not assume that this unit will be available in future years in the format displayed here for 2025/26.
  • 好色tv and units are subject to change in accordance with normal University procedures.
  • Availability of units will be subject to constraints such as staff availability, minimum and maximum group sizes, and timetabling factors as well as a student's ability to meet any pre-requisite rules.
  • Find out more about these and other important University terms and conditions here.