Aims
The aims of the course are to:
introduce the principles, models and applications of computer vision;
cover image structure, projection, stereo vision, structure from motion and object detection and recognition;
give case studies of industrial (robotic) applications of computer vision, including visual navigation for autonomous robots, robot hand-eye coordination and novel man-machine interfaces.
Outcome:
As specific objectives, by the end of the course students should be able to:
design feature detectors to detect, localise and track image features;
model perspective image formation and calibrate single and multiple camera systems;
recover 3D position and shape information from arbitrary viewpoints;
appreciate the problems in finding corresponding features in different viewpoints;
analyse visual motion to recover scene structure and viewer motion, and understand how this information can be used in navigation;
understand how simple object recognition systems can be designed so that they are independent of lighting and camera viewpoint;
appreciate the industrial potential of computer vision but understand the limitations of current methods.
Lectures for this course are shared with 4th year Engineering undergraduates.
