COMP6528 Computer Vision

About the course

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.

When it meets

Every week

• Mon 15:00–17:00 lecture
• Wed 12:00–13:00 lecture
• Thu 14:00–16:00 lecture

Choose one lab (4 options)

• Mon 17:00–18:00
  Tue 17:00–18:00
• Tue 11:00–12:00
• Fri 11:00–12:00
• Fri 13:00–14:00

2027 times aren't published yet, so these are last year's.

Requirements

To enrol in this course you must be studying one of: Graduate Diploma of Computing Master of Computing Master of Computing (Advanced). Master of Machine Learning and Computer Vision Incompatible with ENGN6528 and COMP4528 and ENGN4528.

Wording from ANU Programs and Courses.