2012
DOI: 10.1016/j.gmod.2012.03.004
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Efficient algorithms for boundary extraction of 2D and 3D orthogonal pseudomanifolds

Abstract: In this paper we present algorithms to extract the boundary representation of orthogonal polygons and polyhedra, either manifold or pseudomanifold. The algorithms we develop reconstruct not only the polygons of the boundaries but also the hole-face inclusion relationship. Our algorithms have a simple input so they can be used to convert many different kinds of models to B-Rep. In the 2D case, the input is the set of vertices, and in the 3D case, some small additional information must be supplied for every vert… Show more

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Cited by 10 publications
(12 citation statements)
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“…EVM is actually a complete solid model with very fast Boolean operations, it is an implicit B-Rep model, i.e., all the geometry and topological relations concerning faces, edges and vertices of the represented OPP can be obtained from the EVM [43] and therefore represents OPP unambiguously [55].…”
Section: Evm and Oudb Modelsmentioning
confidence: 99%
“…EVM is actually a complete solid model with very fast Boolean operations, it is an implicit B-Rep model, i.e., all the geometry and topological relations concerning faces, edges and vertices of the represented OPP can be obtained from the EVM [43] and therefore represents OPP unambiguously [55].…”
Section: Evm and Oudb Modelsmentioning
confidence: 99%
“…This information encodes the local topology of the vertex (see Figure 1) and it is required to prevent ambiguity in the reconstruction. It is the input needed, in addition to the vertex coordinates, for the B-rep extraction by Vigo et al (Vigo et al, 2012). There are ten basic local configurations for a vertex.…”
Section: Vertex Configurationsmentioning
confidence: 99%
“…Furthermore, the union of axis-aligned boxes is an orthogonal polyhedron. Their constrained structure has enabled advances on complex or unsolved problems for arbitrary shapes (Bournez et al, 1999;Vigo et al, 2012).…”
Section: Introductionmentioning
confidence: 99%
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“…Orthogonal shapes are a subset of polytopes, where the facets hyperplanes are restricted to be axis aligned. The constrained structure of orthogonal shapes has enabled advances on complex or unsolved problems for arbitrary shapes [44]. In the main, computation of orthogonal shape properties is robust and is less complex compared with more general shape representations.…”
Section: Introductionmentioning
confidence: 99%