The Computational Vision Group (CVG) at the University of Reading conducts pioneering research at the intersection of computer vision, machine learning, and image understanding. The group develops intelligent systems capable of interpreting complex visual data, with applications ranging from security to environmental sustainability.
CVG benefits from significant external funding, including major support from the European Commission and UK national research agencies. One of the group’s core strengths lies in security-focused research, encompassing automated surveillance, biometrics and identity management, privacy-aware vision technologies and benchmarking. These projects often involve close collaboration with government bodies and industry, addressing real-world challenges in national and public security.
In parallel, CVG leads a growing environmental monitoring workstream, with particular expertise in automated satellite image analysis. This includes the development of data science and AI methods for land-use classification, change detection, flood modelling and prediction and climate impact assessment—supporting both policy and conservation efforts.
By combining methodological innovation with application-driven research, the Computational Vision Group is advancing the frontiers of visual intelligence while delivering meaningful impact across critical domains.