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CS4186 - Computer Vision and Image Processing

Offering Academic Unit
Department of Computer Science
Credit Units
3
Course Duration
One Semester
Pre-requisite(s)
Course Offering Term*:
Semester B 2024/25
Semester B 2025/26 (Tentative)

* The offering term is subject to change without prior notice
 
Course Aims

The elective course introduces a thorough grounding of the principles of computer vision and image processing, and seeks to develop studentsa?? knowledge from basic image processing techniques to advanced computer vision and image analysis systems. It concentrates on the fundamental theory of computer vision and image processing with emphasis on the areas of feature extraction, image segmentation, object recognition, motion analysis and scene understanding.


Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 50%
Examination: 50%
Examination Duration: 2 hours

For a student to pass the course, at least 30% of the maximum mark for the examination must be obtained. The students will attend the final exam. Final exam will include questions to assess the capability of students 1) to identify the important features of different computer vision and image processing techniques; 2) to perform critical evaluation of different computer vision and image processing approaches; 3) to assess the capability of students to identify the important features of different computer vision and image processing techniques.

 
Detailed Course Information

CS4186.pdf

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