Methods, apparatus and computer program products that reconstruct surfaces from data point sets

TLDR: In this paper, the authors propose to reconstruct a dense and locally two-dimensionalally distributed 3D point set (e.g., point cloud) by merging stars in 2D weighted Delaunay triangulations within estimated tangent planes.

Abstract: Methods, apparatus and computer program products provide efficient techniques for reconstructing surfaces from data point sets. These techniques include reconstructing surfaces from sets of scanned data points that have preferably undergone preprocessing operations to improve their quality by, for example, reducing noise and removing outliers. These techniques include reconstructing a dense and locally two-dimensionally distributed 3D point set (e.g., point cloud) by merging stars in two-dimensional weighted Delaunay triangulations within estimated tangent planes. The techniques include determining a plurality of stars from a plurality of points p i in a 3D point set S that at least partially describes the 3D surface, by projecting the plurality of points p i onto planes T i that are each estimated to be tangent about a respective one of the plurality of points p i . The plurality of stars are then merged into a digital model of the 3D surface.