Research capabilities

Machine learning is a form of artificial intelligence that enables computers and machines to autonomously learn how to do complex tasks without being overtly programmed.

Robotic vision is technology that gives machines the ability to ‘see’ and understand the physical world, expanding their capabilities.

Medical machine learning involves the development of new algorithms and models which can interpret medical data and improve clinical diagnosis and prognosis.

Trusted autonomous systems involve theoretical and practical research to create systems that are aware of uncertain environments and can perform complex tasks, ask questions, and apply reason to their surroundings.

Surveillance and tracking involves camera calibration, visual tracking, novel-view synthesis, automatic visual surveillance, and simultaneous localisation and mapping.

Photogrammetry and 3D modelling is the automatic construction of high-fidelity, three-dimensional models from a collection of images. The aim is to facilitate accurate metric measurements of real-world objects from images.