English

3D Well-composed Polyhedral Complexes

Computer Vision and Pattern Recognition 2014-03-13 v1

Abstract

A binary three-dimensional (3D) image II is well-composed if the boundary surface of its continuous analog is a 2D manifold. Since 3D images are not often well-composed, there are several voxel-based methods ("repairing" algorithms) for turning them into well-composed ones but these methods either do not guarantee the topological equivalence between the original image and its corresponding well-composed one or involve sub-sampling the whole image. In this paper, we present a method to locally "repair" the cubical complex Q(I)Q(I) (embedded in R3\mathbb{R}^3) associated to II to obtain a polyhedral complex P(I)P(I) homotopy equivalent to Q(I)Q(I) such that the boundary of every connected component of P(I)P(I) is a 2D manifold. The reparation is performed via a new codification system for P(I)P(I) under the form of a 3D grayscale image that allows an efficient access to cells and their faces.

Keywords

Cite

@article{arxiv.1403.2980,
  title  = {3D Well-composed Polyhedral Complexes},
  author = {Rocio Gonzalez-Diaz and Maria-Jose Jimenez and Belen Medrano},
  journal= {arXiv preprint arXiv:1403.2980},
  year   = {2014}
}
R2 v1 2026-06-22T03:25:16.291Z