Smoothing & rendering

Smoothing has a wide variety of applications including medical imaging, data mining and 3D rendering. Finding the smoother is computationally expensive, particularly when dealing with large data sets, and applications such as medical imaging require real time results. The project looks at several issues related to the smoothing process, including efficient linear solvers, different discretisation techniques and high dimensional data sets. Some programming experience is beneficial.