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An improved Marching Cube algorithm for 3D data segmentation

Articolo
Data di Pubblicazione:
2013
Citazione:
An improved Marching Cube algorithm for 3D data segmentation / Masala, Gl; Golosio, Bruno; Oliva, Piernicola. - In: COMPUTER PHYSICS COMMUNICATIONS. - ISSN 0010-4655. - 184:3(2013), pp. 777-782. [10.1016/j.cpc.2012.09.030]
Abstract:
The marching cube algorithm is one of the most popular algorithms for isosurface triangulation. It is based on a division of the data volume into elementary cubes, followed by a standard triangulation inside each cube. In the original formulation, the marching cube algorithm is based on 15 basic triangulations and a total of 256 elementary triangulations are obtained from the basic ones by rotation, reflection, conjugation, and combinations of these operations. The original formulation of the algorithm suffers from well-known problems of connectivity among triangles of adjacent cubes, which has been solved in various ways. We developed a variant of the marching cube algorithm that makes use of 21 basic triangulations. Triangles of adjacent cubes are always well connected in this approach. The output of the code is a triangulated model of the isosurface in raw format or in VRML (Virtual Reality Modelling Language) format.
Tipologia CRIS:
1.1 Articolo in rivista
Keywords:
3D imaging; Surface triangulation
Elenco autori:
Masala, Gl; Golosio, Bruno; Oliva, Piernicola
Link alla scheda completa:
https://iris.uniss.it/handle/11388/82009
Pubblicato in:
COMPUTER PHYSICS COMMUNICATIONS
Journal
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URL

http://dx.doi.org/10.1016/j.cpc.2012.09.030
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