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Proceedings Paper

3D surface reconstruction from scattered data points using a set of curves on a 3D space
Author(s): Faten Chaieb; Faouzi Ghorbel
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Paper 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.

Paper Details

Date Published: 24 November 2002
PDF: 8 pages
Proc. SPIE 4794, Vision Geometry XI, (24 November 2002); doi: 10.1117/12.452344
Show Author Affiliations
Faten Chaieb, Ctr. d'Etudes et de Recherche des Telecommunications (Tunisia)
Faouzi Ghorbel, Ecole Nationale des Sciences de l'Informatique (Tunisia)


Published in SPIE Proceedings Vol. 4794:
Vision Geometry XI
Longin Jan Latecki; David M. Mount; Angela Y. Wu, Editor(s)

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