3D surface reconstruction from scattered data points using a set of curves on a 3D space

Faten Chaieb; Faouzi Ghorbel

doi:10.1117/12.452344

24 November 2002 3D Surface Reconstruction from Scattered Data Points Using a Set of Curves on a Three Dimensional Space

Faten Chaieb, Faouzi Ghorbel

Author Affiliations +

Proceedings Volume 4794, Vision Geometry XI; (2002) https://doi.org/10.1117/12.452344
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

This paper deals with three-dimensional (3D) surface reconstruction from unorganized set of points. Several methods have been developed in the literature. Most of them are based on the 3D Delaunay triangulation. We propose a new method that transforms a set of points into contours in 3D space. This transformation seems to be interesting because the problem of surface reconstruction from contours was widely studies. The triangulation process is composed of the following steps: slicing, 3D curve extraction and tiling. The tiling step is an extension of a well known algorithm used generally for connecting parallel adjacent planar slices. In order to evaluate the performance of our method, we compare it with two well known 3D Delaunay triangulation based methods called α-shape and 3D Crust. We focus on three different comparison criteria: the complexity, the visualization quality and two additional geometrical criteria: the triangulation quality and the rugosity degree.

Citation Download Citation

Faten Chaieb and Faouzi Ghorbel "3D Surface Reconstruction from Scattered Data Points Using a Set of Curves on a Three Dimensional Space", Proc. SPIE 4794, Vision Geometry XI, (24 November 2002); https://doi.org/10.1117/12.452344

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