Multiple View Geometry in Computer Vision

This module looks at the computer vision required to understand the structure of a real-world scene given several images of it.

Accordion / FAQ component

Most modules require a 2.2 degree in a related discipline or equivalent professional experience. Should you have any queries regarding your eligibility, please contact us at

N.B. Students should have undergraduate maths

On completion of this module the learner will/should be able to:

1.Select and apply 2D Image processing techniques to appropriate problems.
2.Evaluate the applicability of various 3D image processing techniques to specific problems, based on the review of key academic papers.
3.Create or reconstruct 3D Scene geometries using various methods.
4.Effectively collaborate and communicate with others in the timely development of solutions to Computer vision problems, including reports and software.
5.Identify the key metrics that are used to measure and compare the effectiveness of state of the art computer vision techniques, and use these metrics to evaluate the performance of emerging computer vision techniques previous state of the art

Learn from world renowned academic staff in Ireland’s leading, future focused and globally recognised colleges.

Gain an accredited NFQ qualification/micro credential that you may count towards a full award if you so wish in the future.

Previous modules may be used as recognition of prior learning towards Advance Centre degree programmes.

Equip yourself with the latest in demand skillset, tools, know-how and knowledge to succeed in your career.

Gain a competitive edge, influence growth and steer strategic goals in your organisation upon completion of your studies with the Advance Centre.

Detailed Course Information

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