| CODE | CCE5205 | ||||||||||||
| TITLE | Computer Vision | ||||||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | ||||||||||||
| MQF LEVEL | 7 | ||||||||||||
| ECTS CREDITS | 5 | ||||||||||||
| DEPARTMENT | Communications and Computer Engineering | ||||||||||||
| DESCRIPTION | The study-unit provides an introduction to computer vision including feature detection and matching, stereo vision, motion estimation and tracking, object recognition and image segmentation. Study-Unit Aims: The aim of this study-unit is to provide the student with the theoretical background needed to be able to be conversant in the field of computer vision. The student will also be able to develop algorithms suitable to address real-world computer vision problems in their assignment. Study-Unit Content: - Theoretical principles in computer vision - Feature detection and matching - Optical flow - Stereo vision - Object recognition - Image segmentation Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - Understand the fundamental theory behind existing computer vision algorithms; - Apply the ability to read and understand papers in the field of computer vision. 2. Skills: By the end of the study-unit the student will be able to: - Design a computer vision algorithm suitable to address a real-world problem; - Evaluate the performance of the developed method Main Text/s and any supplementary readings: Main Texts: - Simon J. Prince, “Computer Vision Models, Learning and Inference,” Cambridge University Press, 2012. - Journal papers that will be referenced in class. |
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| ADDITIONAL NOTES | Before taking this study-unit you are advised to have followed study-units in Signal Processing. Both CCE5205 and CCE5224 are taken by students in the same year of study. |
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| STUDY-UNIT TYPE | Lecture, Independent Study, Practicum & Tutorial | ||||||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Reuben Farrugia |
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The University makes every effort to ensure that the published Courses Plans, Programmes of Study and Study-Unit information are complete and up-to-date at the time of publication. The University reserves the right to make changes in case errors are detected after publication.
The availability of optional units may be subject to timetabling constraints. Units not attracting a sufficient number of registrations may be withdrawn without notice. It should be noted that all the information in the description above applies to study-units available during the academic year 2023/4. It may be subject to change in subsequent years. |
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