Connect with UNB
Review the collective agreement
NOTE: Course offerings are subject to budgetary approval
Posting Reference: GGE GGE5322/6322 FR01B
| Course Prefix: | GGE | Course Number: | GGE5322/6322 |
| Course Section: | FR01B | Course Name: | Computer Vision - Methods and Implementation |
| Term: | Winter | Campus: | Fredericton |
| Faculty: | Engineering, Faculty of | Department: | Geodesy and Geomatics Engineering, Department of |
| Position Start Date: | 2025-01-01 | Position End Date: | 2025-04-30 |
| Posting Date: | 2024-06-06 | Application Deadline: | 2024-06-17 |
| Applications to be submitted via: | michryan@unb.ca | ||
| Requested By: | Yun Zhang |
| Days: | T/Th | Time: | 9:00-10:20 |
| Number of Positions Available: | 1 | Total Credit Hours: | 4 |
| Mode of Delivery: | Face to Face and Distance Technology | Location: | On Campus |
| Stipend Amount: | 9590.67 |
Undergraduate technical elective and graduate course
GGE5322 Computer Vision - Methods and Implementation 4 ch (3C 3*L)
Image data formats; software code for input and output images; writing, compiling and running software code; advanced image processing and computer vision algorithms and software programming; includes advanced edge detection, mathematical morphology, image segmentation, texture, skeletonization, image restoration, wavelets, image matching, fuzzy logic.
Prerequisites: GGE 3342 and experience in programming, preferably in C/C++.
Qualifications for The Appointment
The candidate must have:
1. First-hand knowledge and experience in Image Processing and Computer Vision, including software development
2. Thorough understanding of the course content; outstanding presentation and lecturing skills, research experience in the subject area
3. Potential to update and offer the course consecutively is a plus.
GGE5322 and GGE6322 will be taught together and at the same time as cross listed courses.
Course will be taught both in person and recorded lectures will be posted online for those students who cannot attend in person classes. Support will be given to both in person and online learning students
Fei Tong