COMP4113

Course Descriptions

This course covers basic concepts in computer vision and pattern recognition. Topics include image sensing and camera perception, 2D image analysis such as filters, edge detection and Hough transform, pattern classification, physics-based vision, stereo and motion, and solid model recognition. It concludes with current trends and challenges in computer vision and pattern recognition.

Prerequisite

COMP2003 Data Structures and Algorithms

Workload

Workload not available

Modules

Modules not available