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In this paper a problem of 3D objects’ surfaces comparison is considered. Each spatial object is given as a set of schlicht surfaces that are described by point clouds. This article discusses a proposed disparity measure to compare such objects and an algorithm to compute it. A method for comparison of mesh functions defined on different point sets is proposed. The theoretical base of the proposed approach is the piecewise-linear approximation of surfaces using Delaunay triangulations for initial point clouds. The presented approach uses Delaunay triangulations of each point clouds, general Delaunay triangulation for both clouds, function interpolation on basis of localization of triangulations in each other and function comparison on single cells of general triangulation. Localization is implemented on basis of minimum spanning trees. As the application of the proposed methodology a problem of 3D face models comparison is considered. It was experimentally verified that the proposed method is numerically efficient.

Disparity Measure Construction for Comparison of 3D Objects’ Surfaces