Vector field reconstruction from sparse samples with applications

We present a novel algorithm for 2D vector field reconstruction from sparse set of points-vectors pairs. Our approach subdivides the domain adaptively in order to make local piecewise polynomial approximations for the field. It uses partition of unity to blend those local approximations together generating a global approximation for the field. The flexibility of this scheme allows handling data from very different sources. In particular this work presents important applications of the proposed method to velocity and acceleration fields' analysis, in particular for fluid dynamics visualization.