Vision & Information Processing
The Vision and Information Processing research team currently comprises 5 Academic Staff members, 1 Senior Experimental Officer (shared across the three SISP themes), a number of Research Associates and research students. Their research interests cover various aspects of acquiring, processing and understanding images. The research activities can be grouped into several broad topics.
Details of ongoing work can be found on the Projects page. Opportunities for research within the group, either as a research student or employed on one of our research contracts, can be found on the Opportunities page. The following are the main research themes and associated topics.Colour Vision and Image Processing
- Sensor limits on surface-colour perception
- Second- and third-order natural scene statistics
- Colour constancy in natural scenes and scene statistics
- Information-theoretic estimates of colour-coding efficiency
- High-resolution hyperspectral imaging (download Matlab images)
- Frequency of metamerism in natural scenes
- Low-dimensional models of reflectance spectra
- Spectral positioning of sensors to maximize colour information from natural scenes
- Measuring color constancy
- Non-parametric local polynomial estimates of stimulus-response functions
- Mutual-information estimates in non-Gaussian channels
Neural Networks and Pattern Recognition
- Self-organising neural networks and unsupervised learning algorithms
- Dimensionality reduction and data visualisation
- Information-theoretic approach to neuronal signal processing
- Face image recognition and biometric systems
- Information and image retrieval
- Neural approaches to financial time series modelling and analysis
- Multi-modal information fusion and complexity theory
- Bioinformatics (gene expression analysis and protein metabolic pathway analysis)