4F12 Computer Vision

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.

Objectives

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 commercial and industrial potential of computer vision but understand its limitations.

* This module is shared with 4th Year undergraduates from the Department of Engineering.