A streaming algorithm for surface reconstruction

We present a streaming algorithm for reconstructing closed surfaces from large non-uniform point sets based on a geometric convection technique. Assuming that the sample points are organized into slices stacked along one coordinate axis, a triangle mesh can be efficiently reconstructed in a streamable layout with a controlled memory footprint. Our algorithm associates a streaming 3D Delaunay triangulation data-structure with a multilayer version of the geometric convection algorithm. Our method can process millions of sample points at the rate of 50k points per minute with 350 MB of main memory. Categories and Subject Descriptors (according to ACM CCS): I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling

• Type: Conference
• Year: 2007
• Where: SGP
• Authors: Rémi Allègre, Raphaëlle Chaine, Samir Akkouche
• Keywords: Computer Graphics, Geometric Convection, Geometric Convection Technique, Sample Points, SGP 2007