Research
I have strong research interests in video analysis, stereo systems, active contour models, level set methods, texture analysis, and medical image understanding.
- 3D Pose Estimation and Tracking
- Video Segmentation
- Depth Estimation from Stereo Camera
- Contour Based Object Tracking
- Active Contour Models
- Texture Analysis
- Surface Inspection
- Medical Image Analysis
- Document Analysis
Grants:
- Biomedical Research Unit: Advanced Medical Image Analysis and Visualisation, Collaborator, led by Prof. John (Bangor University), funded by NISCHR, £275K to Swansea (£1.2M in total), 2011 - 2014.
- Non-Invasive Quantification of Complex Heart Valve Lesions: A model-based approach using 3D echocardiography, Co-investigator, led by Dr. van Lool(Swansea University), funded by NISCHR, £58K, 2011 - 2014.
- Patient Specific Multi-view Coronary Geometry and Computational Disease Modelling, Principal investigator, funded by WORD, £144K, 2010 - 2012.
- NISCHR Registered Research Group: Medical Image Analysis and Visualisation, Co-investigator, led by Prof. Zwiggelaar (Aber University), funded by NISCHR, £95K, 2010 - 2013.
- Wales Research Institute on Visual Computing (RIVIC), I am leading a sub-programme on 3D Vision and Medical Image Analysis. RIVIC attracts £5M funding from WAG, 2009-2013.
- PRINS: Prior-independent Shape Regularisation for Geometric Active Contours, Co-investigator, led by Prof. Mirmehdi ( Bristol University), funded by The Leverhulme Trust, £65K, 2006 - 2008.
Projects:
Here is a list of projects that I have been involved with.
- Patient Specific Multi-view Coronary Geometry and Computational Disease Modelling (2010-2012)
- 3D Pose Estimation and Tracking (2009-2012)
- CASBliP Project (2006-2009)
- PRINS Project (2006-2008)
- MAC: Magntostatic Active Contour (2006-2007)
- Charged Active Contour based on Electrostatics (CACE) (2006)
- Historical Document Retrieval (2005-2006)
- Eardrum Medical Image Analysis (2005)
- MONOTONE Project (2002-2005)
- Region-aided Geometric Active Contour (2002)
Research Opportunities:
- PhD in Computer Vision and Medical Image Analysis;
- MSc by Research in Visual Computing - one year research only master programme.
- MRes in Visual Computing - one year research focused master programme (1/3 taught modules and 2/3 research project).