COM31006 Computer Vision

Aims/Description: This module provides a comprehensive introduction to computer vision. Major topics include image processing, detection and recognition, semantic understanding, photometric geometry, image registration, place recognition, and vision and video analysis. Students will learn the basic theories and fundamental topics of computer vision, the mainstream methods for core computer vision applications. Importantly, the students will also gain hands-on experience to solve real-life vision problems.

Restrictions on availability: Restricted to students in the School of Computer Science.

Staff Contact: DOS SANTOS JEFERSSON

Teaching Methods: Lectures, Laboratory work, Independent Study

Assessment: Formal Exam, Course work

Information on the department responsible for this unit (Computer Science):

Departmental Home Page

Teaching timetable

NOTE The content of our courses is reviewed annually to make sure it's up-to-date and relevant. Individual modules are occasionally updated or withdrawn. This is in response to discoveries through our world-leading research; funding changes; professional accreditation requirements; student or employer feedback; outcomes of reviews; and variations in staff or student numbers. In the event of any change we'll consult and inform students in good time and take reasonable steps to minimise disruption.

URLs used in these pages are subject to year-on-year change. For this reason we recommend that you do not bookmark these pages or set them as favourites.

Teaching methods and assessment displayed on this page are indicative for 2025-26.