Efficient Fitting and Rendering of Large Scattered Data Sets Using Subdivision Surfaces
Abstract
We present a method to efficiently construct and render a smooth surface for approximation of large functional
scattered data. Using a subdivision surface framework and techniques from terrain rendering, the resulting surface
can be explored from any viewpoint while maintaining high surface fairness and interactive frame rates. We
show the approximation error to be sufficiently small for several large data sets. Our system allows for adaptive
simplification and provides continuous levels of detail, taking into account the local variation and distribution of
the data.