Surface recovery from 3D point data using a combined parametric and geometric flow approach

discrete 3D point data sets. In order to produce improved reconstruction
results, the algorithm presented in ths paper combines the advantages of a
parametric approach to model local surface structure, with the generality
and the topological adaptability of a geometric flow approach. This hybrid
method is specifically designed to preserve discontinuities in 3D, to be
robust to noise, and to reconstruct objects with arbitrary topologies. The
key ideas are to tailor a curvature consistency algorithm to the case of a
set of points in 3D and to then incorporate a flux maximizing geometric
flow for surace reconstruction. The approach is illustrated with
experimental results on a variety of data sets.