Study level
- PhD
Faculty/School
Faculty of Engineering
Topic status
We're looking for students to study this topic.
Supervisors
- Position
- Associate Professor
- Division / Faculty
- Faculty of Engineering
Overview
Stable correspondence-free image-based visual servoing is a challenging and important problem.
In classical image-based visual controllers, explicit feature correspondence (matching) to some desired arrangement (configuration) is required before a control input is obtained. Instead, this project will investigate variable feature correspondence and robust feature selection to simultaneously solve visual servoing problem, removing any feature tracking requirement or additional image processing.
Also involving Prof Jason Ford.
Contact
Contact the supervisor for more information.