CSC3202: COMPUTER VISION

Course Description

This course introduces concepts and applications in computer vision. Starting with image formation the course covers image processing methods such as filtering and edge detection, segmentation and classification. It includes vision tasks like; object detection, recognition and human motion detection. The content of the course also includes practical exercises to help the students formulating and solving computer vision problems.
Course Objectives

To understand processing of digital images
To familiarize different mathematical structures
To study detailed models of image formation
To study image feature detection, matching, segmentation and recognition
To understand classification and recognition of objects.
To familiarize state-of-the-art problems in computer vision