| CODE | ARI5903 | ||||||||||||||||
| TITLE | Research Topics in Computer Vision | ||||||||||||||||
| UM LEVEL | 05 - Postgraduate Modular Diploma or Degree Course | ||||||||||||||||
| MQF LEVEL | 7 | ||||||||||||||||
| ECTS CREDITS | 5 | ||||||||||||||||
| DEPARTMENT | Artificial Intelligence | ||||||||||||||||
| DESCRIPTION | This study-unit exposes students to current relevant research in Computer Vision and should serve to provide them with a comprehensive understanding of the topic at hand. Students will be provided with a seminal seed paper in the topic and then guided in systematically exploring a particular area within system software. Topics of interest will include but are not limited to: - Object Recognition; - Object Tracking; - Segmentation; - Brain-inspired computer vision; - Convolutional Neural Networks. To assist students with their reading, regular meetings either online or offline are held with the lecturer to discuss the progress and any problems encountered. Once the student has read sufficiently, he or she is expected to draw up a report which reviews the texts under consideration and work on a mini-project. The review is expected to offer a mature discussion, comparing and contrasting the works within a sensible framework. Study-Unit Aims: The aim of this study-unit is to expose the students to state of the art research papers in the area, help them organise their reading and research efforts whilst also giving them the opportunity to write a literature review, work on a mini-project and present their findings in a seminar. This will give the students invaluable background in the topic while also giving them the opportunity of hands on research under close guidance from the lecturer. Learning Outcomes: 1. Knowledge & Understanding: By the end of the study-unit the student will be able to: - Understand how computer vision developed through the years and its importance; - Get exposure to practical applications keeping in mind the current state-of-the-art and future research directions; - Given a practical problem, formulate a solution which can contribute to solving the problem and implement a prototype. 2. Skills: By the end of the study-unit the student will be able to: - Discuss and critically analyse the motivation, techniques and results with specialisation in more advanced topics; - Given a seed paper, use it to explore a subject area in depth within a particular context. Main Text/s and any supplementary readings: The following are a few sample papers/articles, but these will be updated regularly: Book: - Computer Vision: Algorithms and Applications (Texts in Computer Science) 2011, by Richard Szeliski. ISBN 1848829345 Proceedings and papers: - Proceedings of CVPR (2013 - to date) - Proceedings of ICCV (2013 - to date) - Proceedings of ECCV (2013 - to date) - Journal papers from IEEE TPAMI and IEEE TIP |
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| STUDY-UNIT TYPE | Lecture, Independent Study, Project and Seminar | ||||||||||||||||
| METHOD OF ASSESSMENT |
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| LECTURER/S | Mark Bugeja Dylan Seychell (Co-ord.) |
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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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