In computer graphics, hierarchical RBF is an interpolation method based on radial basis functions (RBFs). Hierarchical RBF interpolation has applications in the construction of shape models in 3D computer graphics (see the Stanford bunny image below), treatment of results from a 3D scanner, terrain reconstruction, and others. This problem is informally named as "large scattered data point set interpolation." The steps of the method (for example in 3D) consist of the following: \varphi — is RBF; \lambda — is coefficients that are the solution of the system shown in the picture: For determination of surface, it is necessary to estimate the value of function in interesting points x. A lack of such method is a considerable complication to calculate RBF, solve system, and determine surface.

Other methods

Hierarchical algorithm

An idea of hierarchical algorithm is an acceleration of calculations due to decomposition of intricate problems on the great number of simple (see picture). In this case, hierarchical division of space contains points on elementary parts, and the system of small dimension solves for each. The calculation of surface in this case is taken to the hierarchical (on the basis of tree-structure) calculation of interpolant. A method for a 2D case is offered by Pouderoux J. et al. For a 3D case, a method is used in the tasks of 3D graphics by W. Qiang et al. and modified by Babkov V.