| CODE | CCE3207 | ||||||||
| TITLE | Introduction to Computer Vision | ||||||||
| UM LEVEL | 03 - Years 2, 3, 4 in Modular Undergraduate Course | ||||||||
| MQF LEVEL | 6 | ||||||||
| ECTS CREDITS | 5 | ||||||||
| DEPARTMENT | Communications and Computer Engineering | ||||||||
| DESCRIPTION | The study-unit will introduce the techniques commonly used in computer vision and pattern recognition. This includes image acquisition, image registration and feature extraction. This unit will also introduce the basic principles in pattern recognition including feature selection, classification and regression. Study-unit Aims: - To introduce the basic techniques used in computer vision to extract information from an image; - To provide the theoretical foundations of image analysis and computer vision; - To introduce the fundamental principles in pattern recognition which are used in a wide range of disciplines including computer vision. Learning Outcomes: 1. Knowledge & Understanding By the end of the study-unit the student will be able to: - differentiate between the different distortions present in a video/image; - implement a camera calibration technique to restore optical distortions; - implement first and second order gradients from images/videos; - differentiate between different feature extraction methods; - apply feature extraction methods such as local binary pattern and histogram of orientation gradients to extract information from an image/video; - implement simple pattern recognition techniques to solve real-world computer vision problems. 2. Skills By the end of the study-unit the student will be able to: - select the features that are suitable to address a specific practical problem; - develop software that can be used to extract information from an image or video; - apply pattern recognition algorithms to model real-world problems. Main Text/s and any supplementary readings: Main Rafael Gonzales, Richard E. Woods, Digital Image Processing, Prentice Hall, 2002. Supplementary - Richard O. Duda, Peter E. Hart, David G. Stock, Pattern Classification, Wiley and Sons. 2000. |
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| ADDITIONAL NOTES | Pre-Requisite Study-unit: CCE2203 Co-Requisite Study-unit: CCE3502 |
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| STUDY-UNIT TYPE | Lecture, Independent Study, Practicum & Tutorial | ||||||||
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| LECTURER/S | Christian Galea |
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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 2024/5. It may be subject to change in subsequent years. |
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