Subject description
This subject is designed to equip the student with an understanding of the fundamental tools required to analyse, design and implement computer vision systems. Topics covered include low-level, mid-level, and high-level vision; image formation; camera model and calibration, stereo vision; edge detection and segmentation; thinning and skeletonising, binary morphological operations; … For more content click the Read More button below.
Enrolment rules
Pre-Requisite
Equivalence
CSCI935 - Computer Vision Algorithms and Systems
Delivery
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Teaching staff
Subject coordinators
Engagement hours
Contact Hours:2 hour lecture
Learning outcomes
On successful completion of this subject, students will be able to:
1.
Understand the principle of digital image and video cameras.
2.
Use image enhancement techniques.
3.
Use object detection and recognition techniques.
4.
Use video processing techniques to detect moving objects.
5.
Design and implement basic computer vision systems for real applications.
Assessment details
Quiz
Assignment
Group project
Final Exam
Textbook information
No prescribed textbooks for this subject.