ENGN6528 Computer Vision
S16 units6000-level
Computer Vision is an important field of Artificial Intelligence concerned with automatically extracting useful information from images or videos. The explosive growth in digital imaging technologies, vision datasets and deep learning makes the problems of automated image interpretation even more exciting and more relevant than ever. This course introduces students to fundamental problems in computer vision and foundational techniques for solving them. Topics covered in detail include: image formation, image filtering, camera geometry, thresholding and image segmentation, edge, point and feature detection, geometric frameworks for vision, single view and two views geometry, 3D visual reconstruction, camera calibration, stereo vision, image classification, object recognition, deep learning and neural networks. The course features extensive practical components including computer labs that provide students with the opportunity to practice and refine their skills in computer vision.
- 2024S1
- 2025S1
- 2026S1
- 2027S1
Prerequisites in 2027
Read automatically from the handbook's wording
Incompatible with COMP6528, COMP4528, ENGN4528: you can't count both.
The handbook's original wording (2024–2027)
To enrol in this course you must be studying Master of Engineering. Incompatible with COMP6528 and COMP4528 and ENGN4528 .
What it leads to in 2027
These courses name ENGN6528 in their 2027 prerequisites: