Dr Jacqueline Christmas
Senior Lecturer in Computer Science (E&R)
Telephone: 01392 723039
Extension: (Streatham) 3039
Machine learning for intelligent image and video understanding. Bayesian modelling and variational approximation. Sea wave prediction and quiescent period prediction.
Sea Wave Prediction
Working with Prof. Michael Belmont and Dr Mustafa (Fass) Al-Ani to make significant improvements to the safety of maritime launch and recovery operations by providing short-term predictions of the profiles of the waves. We are pioneering research into Quiescent Period Prediction (QPP) which aims to predict when short periods of relative calm are about to occur. This has the potential to allow a range of wave critical marine operations to be safely carried out at considerably larger wave amplitudes than would otherwise be possible. Our work is funded by EPSRC (ref EP/N009142/1) and we have industrial partners in the MOD, BAE Systems and SEA.
I have recently started working with the Merika project team at Lews Castle College, part of the University of the Highlands and Islands (UHI). They have a marine X-band radar attached to the Northern Lighthouse Board's lighthouse at the Butt of Lewis and various buoys and sensors installed within the radar's field of view.
PhD student Antonis Loizou is working on methods for measuring the sea surface from radar and video.
Photogrammetry Reflectance Transformation Imaging
Working with Dr Judith Bannerman, Dr Sam Stevens and Prof. George Bevan to develop new techniques in RTI and its use for photogrammetry. In 2016 Judith, George and I worked together at the Prof. Mieczyslaw Domaradzki Archaeological Museum, in Septemvri, Bulgaria, and taught RTI techniques for the Bulgarian Heritage Field School (BHFS). Judith and I will be returning to Bulgaria in August 2017. We have also been working with the Vindolanda Trust, the Royal Albert Memorial Museum (RAMM) and Crediton Parish Church.
PhD student Matthew McGuigan is working on Photogrammetry RTI.
Visit our RTI web page.
Exeter Imaging Network
I am one of the organisers of the Exeter Imaging Network (EIN), which brings together researchers across all disciplines who use images in their work. Our seminars occur approximately bi-monthly, with talks from invited speakers and space to discuss opportunities for cross-pollination of research ideas and to form new collaborations.
Using variational Bayesian models to
- track wild crickets (Gryllus campestris) from recorded video clips. The crickets are labelled with alphanumeric tags which we aimed to recognise. In collaboration with Prof. Tom Tregenza and Prof. Richard Everson.
- identify cartilage cells in 3D confocal microscopy images and then match the cells in images taken before and after a mechanical stretch was applied to the cartilage sample. In collaboration with Dr James Bell and Prof. Peter Winlove.
- (see Robust spatio-temporal latent variable models) model EEG data and to estimate missing values in satellite images of phytoplankton in the surface of the sea.