Part of my research evolves around geometric modelling with some topics related to computer graphics and vision. A particular direction is reverse engineering in the sense of generating computational descriptions of artefacts and natural objects and detecting patterns in the measured data suitable for analysis, modification and simulation applications. I am also working on point-based modelling, curves and surfaces, mesh processing, and related issues in differential and computational geometry.

Low-Discrepancy Sampling This is the PhD work of Jonathan Quinn about creating low-discrepancy sampling sequwnces of surfaces utilising space-filling curves. This has been applied to point-based rendering, remeshing and robotic painting (in collaboration with Jonathan Corney and Finlay McPherson). Jonathan’s supervisors are Frank Langbein and Ralph Martin.

Point Sampling