Re-sampling of 3-D object range data by cube-based segmentation

Abstract This paper proposes an efficient method for scattered range data re-sampling using uniform segmentation in 3-D space. The method combines the techniques of uniform cube-based segmentation, patch formation, and lattice points generation. After analyzing the scattered range data which formed by optical measuring machine, a preliminary processing is carried out by making the cross section in 3-D object space to form a group of cubes. Based on the cubes from preliminary processing, we generate lattice points in each cube. So using fewer re-sampling points, it is possible to reconstruct a smooth and complete 3-D object with parametric surface equations.