Surface Recovery from 3D Point Data Using a Combined Parametric and Geometric Flow Approach

This paper presents a novel method for surface recovery from discrete 3D point data sets. In order to produce improved reconstruction results, the algorithm presented in this 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 surface reconstruction. The approach is illustrated with experimental results on a variety of data sets.

• Type: Conference
• Year: 2003
• Where: EMMCVPR
• Authors: Peter Savadjiev, Frank P. Ferrie, Kaleem Siddiqi
• Keywords: Data Sets, EMMCVPR 2003, Geometric Flow, Geometric Flow Approach